Triple
T15839683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginga |
E384068
|
entity |
| Predicate | secondaryInstrumentType |
P12711
|
FINISHED |
| Object | X-ray all-sky monitor |
—
|
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: X-ray all-sky monitor | Statement: [Ginga, secondaryInstrumentType, X-ray all-sky monitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryInstrumentType Context triple: [Ginga, secondaryInstrumentType, X-ray all-sky monitor]
-
A.
secondaryInstrument
Indicates that an entity uses or is associated with a second, supporting instrument in addition to a primary one.
-
B.
secondaryInstrumentAbbreviation
Indicates that an abbreviated form is used to represent a secondary instrument associated with an entity.
-
C.
typeOfInstrument
chosen
Indicates the specific kind or category of instrument associated with an entity.
-
D.
secondGenerationInstruments
Indicates that the instruments are classified as belonging to the second generation within a defined sequence or development cycle.
-
E.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e69360819091ea0556bd66d785 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.