Triple
T8264929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NISTAR |
E193277
|
entity |
| Predicate | observationGeometry |
P81580
|
FINISHED |
| Object | nearly constant viewing angle of full Earth disk |
—
|
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: nearly constant viewing angle of full Earth disk | Statement: [NISTAR, observationGeometry, nearly constant viewing angle of full Earth disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationGeometry Context triple: [NISTAR, observationGeometry, nearly constant viewing angle of full Earth disk]
-
A.
observationArc
Indicates a relationship where one entity serves as an observational link or span over which another entity is monitored, tracked, or measured across a period or range.
-
B.
observationPlatform
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
-
C.
observationSpace
Indicates the defined set of possible observations or sensory inputs that an agent can receive from its environment.
-
D.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
E.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
- F. None of above. chosen
Provenance (4 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793aa8f08190b20b3616ceb9bec7 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb36b8707881909aca349230495a5a |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:49 p.m.