Triple
T2934969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMARTS 1.3-meter Telescope |
E79242
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
ANDICAM
ANDICAM is a dual-channel optical and near-infrared imager and spectrograph used in astronomical observations on the SMARTS 1.3-meter Telescope.
|
E311473
|
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: ANDICAM | Statement: [SMARTS 1.3-meter Telescope, hasInstrument, ANDICAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANDICAM Context triple: [SMARTS 1.3-meter Telescope, hasInstrument, ANDICAM]
-
A.
Andru
Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
-
B.
Andal
Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
-
C.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
D.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
-
E.
Antu
Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
- 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: ANDICAM Triple: [SMARTS 1.3-meter Telescope, hasInstrument, ANDICAM]
Generated description
ANDICAM is a dual-channel optical and near-infrared imager and spectrograph used in astronomical observations on the SMARTS 1.3-meter Telescope.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANDICAM Target entity description: ANDICAM is a dual-channel optical and near-infrared imager and spectrograph used in astronomical observations on the SMARTS 1.3-meter Telescope.
-
A.
Andru
Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
-
B.
Andal
Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
-
C.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
D.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
-
E.
Antu
Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983c84688190aa7ed5b8091fb140 |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867edf3481909c5fa9d02c5f11b3 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d66e4c188190a6f41593884080e8 |
completed | March 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d6abef8c81908d593c39e3824c77 |
completed | March 11, 2026, 2:42 a.m. |
Created at: March 8, 2026, 2:56 p.m.