Triple
T11176238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSST Camera |
E264420
|
entity |
| Predicate | hasNumberOfScienceCCDs |
P23069
|
FINISHED |
| Object | 189 |
—
|
LITERAL FINISHED |
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: 189 | Statement: [LSST Camera, hasNumberOfScienceCCDs, 189]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfScienceCCDs Context triple: [LSST Camera, hasNumberOfScienceCCDs, 189]
-
A.
hasNumberOfNasmythFoci
Indicates the relationship specifying how many Nasmyth foci are associated with a given telescope or optical system.
-
B.
imagingInstrument
Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
-
C.
hasAuxiliaryTelescopes
Indicates that an entity is equipped with or includes additional telescopes that serve as auxiliary instruments to a primary telescope system.
-
D.
hasSpectrograph
Indicates that one entity is equipped with or contains a spectrograph instrument.
-
E.
numberOfMainDetectors
chosen
Indicates the quantity of primary detectors associated with or used in a given context or system.
- F. None of above.
Provenance (3 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.