Triple
T2151657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faint Object Camera |
E47793
|
entity |
| Predicate | scienceDiscipline |
P5484
|
FINISHED |
| Object | observational astronomy |
—
|
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: observational astronomy | Statement: [Faint Object Camera, scienceDiscipline, observational astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceDiscipline Context triple: [Faint Object Camera, scienceDiscipline, observational astronomy]
-
A.
secondScience
Indicates that the subject is the second entity in a sequence or ranking specifically within a scientific context or domain.
-
B.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
C.
scientificDisciplineEstablished
Indicates that a particular scientific discipline has been formally founded or recognized as an established field of study.
-
D.
subDisciplineOf
chosen
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
E.
researchClassification
Indicates that an entity is assigned a specific category or type within a research-related classification scheme.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4747a0819080e2234f3ea8995f |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.