Triple
T17661529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOIRCS |
E440262
|
entity |
| Predicate | typeOfSpectrograph |
P7240
|
FINISHED |
| Object | multi-object spectrograph |
—
|
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: multi-object spectrograph | Statement: [MOIRCS, typeOfSpectrograph, multi-object spectrograph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSpectrograph Context triple: [MOIRCS, typeOfSpectrograph, multi-object spectrograph]
-
A.
spectrographType
chosen
Indicates the specific kind or category of spectrograph associated with an instrument or observation.
-
B.
spectrometerType
Indicates the specific kind or category of spectrometer associated with or used in relation to an entity.
-
C.
spectralInstrumentType
Indicates the type or category of instrument used to acquire spectral measurements in the described relationship or observation.
-
D.
hasSpectrograph
Indicates that one entity is equipped with or contains a spectrograph instrument.
-
E.
numberOfSpectrographs
Indicates the quantity of spectrographs associated with or used by a given entity.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea67f8081909da164ca21a98675 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:43 a.m.