Triple
T6674380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice |
E151812
|
entity |
| Predicate | supportsObservation |
P71680
|
FINISHED |
| Object | airglow measurements |
—
|
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: airglow measurements | Statement: [Alice, supportsObservation, airglow measurements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsObservation Context triple: [Alice, supportsObservation, airglow measurements]
-
A.
supportsObservationSpace
Indicates that one entity provides or enables an observation space capability for another entity.
-
B.
supportsObservationModes
Indicates that one entity provides or is compatible with specific modes or methods of observation used by another entity.
-
C.
mayObserve
Indicates that one entity is permitted or allowed to observe, monitor, or watch another entity or process.
-
D.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
E.
hasObservation
Indicates that an entity records, contains, or is associated with a specific observation or measured instance.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6c0a90a088190978061cb05dbe268 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 2:03 p.m.