Triple
T9885822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VISTA telescope |
E180928
|
entity |
| Predicate | associatedSurvey |
P49793
|
FINISHED |
| Object |
VISTA Variables in the Via Lactea
VISTA Variables in the Via Lactea is a near-infrared astronomical survey mapping variable stars and structure in the Milky Way using the VISTA telescope.
|
E827950
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: VISTA Variables in the Via Lactea | Statement: [VISTA telescope, associatedSurvey, VISTA Variables in the Via Lactea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VISTA Variables in the Via Lactea Context triple: [VISTA telescope, associatedSurvey, VISTA Variables in the Via Lactea]
-
A.
VISTA Magellanic Clouds Survey
The VISTA Magellanic Clouds Survey is a near-infrared astronomical survey mapping the Magellanic Clouds and their surroundings to study their structure, stellar populations, and interaction with the Milky Way.
-
B.
VISTA Hemisphere Survey
The VISTA Hemisphere Survey is a large-scale near-infrared sky survey using the VISTA telescope to map the entire southern celestial hemisphere for studies of Galactic structure, nearby stars, and distant galaxies.
-
C.
Harvard variable star catalogues
The Harvard variable star catalogues are pioneering astronomical compilations that systematically recorded and classified variable stars, forming a foundational resource for stellar variability research.
-
D.
Magellanic Clouds variable stars catalogs
Magellanic Clouds variable stars catalogs are extensive astronomical compilations of variable stars in the Large and Small Magellanic Clouds, crucial for studying stellar evolution and the cosmic distance scale.
-
E.
VISTA Kilo-degree Infrared Galaxy survey
The VISTA Kilo-degree Infrared Galaxy survey (VIKING) is a wide-area near-infrared astronomical survey mapping large regions of the sky to study galaxy evolution, large-scale structure, and cosmology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VISTA Variables in the Via Lactea Triple: [VISTA telescope, associatedSurvey, VISTA Variables in the Via Lactea]
Generated description
VISTA Variables in the Via Lactea is a near-infrared astronomical survey mapping variable stars and structure in the Milky Way using the VISTA telescope.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VISTA Variables in the Via Lactea Target entity description: VISTA Variables in the Via Lactea is a near-infrared astronomical survey mapping variable stars and structure in the Milky Way using the VISTA telescope.
-
A.
VISTA Magellanic Clouds Survey
The VISTA Magellanic Clouds Survey is a near-infrared astronomical survey mapping the Magellanic Clouds and their surroundings to study their structure, stellar populations, and interaction with the Milky Way.
-
B.
VISTA Hemisphere Survey
The VISTA Hemisphere Survey is a large-scale near-infrared sky survey using the VISTA telescope to map the entire southern celestial hemisphere for studies of Galactic structure, nearby stars, and distant galaxies.
-
C.
Harvard variable star catalogues
The Harvard variable star catalogues are pioneering astronomical compilations that systematically recorded and classified variable stars, forming a foundational resource for stellar variability research.
-
D.
Magellanic Clouds variable stars catalogs
Magellanic Clouds variable stars catalogs are extensive astronomical compilations of variable stars in the Large and Small Magellanic Clouds, crucial for studying stellar evolution and the cosmic distance scale.
-
E.
VISTA Kilo-degree Infrared Galaxy survey
The VISTA Kilo-degree Infrared Galaxy survey (VIKING) is a wide-area near-infrared astronomical survey mapping large regions of the sky to study galaxy evolution, large-scale structure, and cosmology.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45659748190a3ebd1abe23c8779 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eafc76b0819098e481bb17a3af2b |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1ecfce8588190815876afc7ec85d4 |
completed | April 5, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed99963881908dd14786a2e2e87f |
completed | April 5, 2026, 5:05 a.m. |
Created at: March 30, 2026, 8:38 p.m.