Triple
T11002100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wide Field Channel |
E260025
|
entity |
| Predicate | scienceInstrumentType |
P13781
|
FINISHED |
| Object | wide-field camera |
—
|
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: wide-field camera | Statement: [Wide Field Channel, scienceInstrumentType, wide-field camera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceInstrumentType Context triple: [Wide Field Channel, scienceInstrumentType, wide-field camera]
-
A.
scientificInstruments
chosen
Indicates that one entity is a scientific instrument used by, associated with, or relevant to another entity in the context of scientific measurement or research.
-
B.
imagingInstrument
Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
-
C.
spectrometerType
Indicates the specific kind or category of spectrometer associated with or used in relation to an entity.
-
D.
observatoryType
Indicates the specific kind or category of observatory associated with an entity.
-
E.
spectrographType
Indicates the specific kind or category of spectrograph associated with an instrument or observation.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.