Triple
T7459436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VISTA |
E176206
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
VIRCAM
VIRCAM is the wide-field infrared camera used on the VISTA telescope to conduct large-scale near-infrared sky surveys.
|
E666537
|
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: VIRCAM | Statement: [VISTA, hasInstrument, VIRCAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIRCAM Context triple: [VISTA, hasInstrument, VIRCAM]
-
A.
MegaCam
MegaCam is a wide-field optical imaging camera used for deep-sky astronomical surveys on the Canada–France–Hawaii Telescope.
-
B.
WIRCam
WIRCam is a wide-field infrared camera used for astronomical imaging on the Canada–France–Hawaii Telescope.
-
C.
VISTA telescope
The VISTA telescope is a 4.1-meter wide-field survey telescope in Chile designed primarily for large-scale near-infrared sky surveys.
-
D.
LSST Camera
The LSST Camera is a massive, wide-field digital camera designed to capture deep, high-resolution images of the night sky for the Vera C. Rubin Observatory’s decade-long sky survey.
-
E.
VLT Survey Telescope
The VLT Survey Telescope is a wide-field optical survey telescope in Chile designed to conduct large-scale imaging of the southern sky for the European Southern Observatory.
- 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: VIRCAM Triple: [VISTA, hasInstrument, VIRCAM]
Generated description
VIRCAM is the wide-field infrared camera used on the VISTA telescope to conduct large-scale near-infrared sky surveys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIRCAM Target entity description: VIRCAM is the wide-field infrared camera used on the VISTA telescope to conduct large-scale near-infrared sky surveys.
-
A.
MegaCam
MegaCam is a wide-field optical imaging camera used for deep-sky astronomical surveys on the Canada–France–Hawaii Telescope.
-
B.
WIRCam
WIRCam is a wide-field infrared camera used for astronomical imaging on the Canada–France–Hawaii Telescope.
-
C.
VISTA telescope
The VISTA telescope is a 4.1-meter wide-field survey telescope in Chile designed primarily for large-scale near-infrared sky surveys.
-
D.
LSST Camera
The LSST Camera is a massive, wide-field digital camera designed to capture deep, high-resolution images of the night sky for the Vera C. Rubin Observatory’s decade-long sky survey.
-
E.
VLT Survey Telescope
The VLT Survey Telescope is a wide-field optical survey telescope in Chile designed to conduct large-scale imaging of the southern sky for the European Southern Observatory.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d332d08190a05c92a00ed09ac6 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8345f629c8190889081e18bdfe6f7 |
completed | March 28, 2026, 8:04 p.m. |
| NEDg | Description generation | batch_69c835279b108190b32415c2e3d92c6d |
completed | March 28, 2026, 8:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c835d2474081908ec1e93c1ced0b1f |
completed | March 28, 2026, 8:10 p.m. |
Created at: March 27, 2026, 3:37 p.m.