Triple
T12557812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | intensity interferometer |
E295262
|
entity |
| Predicate | observables |
P20811
|
FINISHED |
| Object | degree of second-order coherence g2 |
—
|
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: degree of second-order coherence g2 | Statement: [intensity interferometer, observables, degree of second-order coherence g2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observables Context triple: [intensity interferometer, observables, degree of second-order coherence g2]
-
A.
observability
Indicates that the internal state or behavior of a system can be inferred or monitored through its external outputs or measurements.
-
B.
observableWith
chosen
Indicates that one entity can be detected, measured, or perceived through the use of another specified entity or method.
-
C.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
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.
observedWith
Indicates that two or more entities are seen, detected, or recorded together in the same context, event, or observation.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:47 p.m.