Triple
T26742218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okayama Astrophysical Observatory |
E674291
|
entity |
| Predicate | hasMajorInstrument |
P193990
|
FINISHED |
| Object | Okayama 188 cm Reflector |
—
|
NE NERFINISHED |
How this triple was built (2 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: Okayama 188 cm Reflector | Statement: [Okayama Astrophysical Observatory, hasMajorInstrument, Okayama 188 cm Reflector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorInstrument Context triple: [Okayama Astrophysical Observatory, hasMajorInstrument, Okayama 188 cm Reflector]
-
A.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
B.
hadInstrument
Indicates that an action or event was performed using a particular instrument or tool.
-
C.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
-
D.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
E.
isKeyInstrumentFor
Indicates that one entity serves as the primary or essential instrument used to perform, enable, or achieve another entity or activity.
- F. None of above. chosen
Provenance (4 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 27, 2026, 3:49 a.m.