Triple
T2321424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tau neutrino |
E51187
|
entity |
| Predicate | isPointLikeAtCurrentScales |
P37462
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [tau neutrino, isPointLikeAtCurrentScales, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPointLikeAtCurrentScales Context triple: [tau neutrino, isPointLikeAtCurrentScales, true]
-
A.
isPointLike
chosen
Indicates that an entity behaves or is treated as a single, dimensionless point within a given context or model.
-
B.
hasApproximateDistanceScale
Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
-
C.
isSmallestMeaningfulScaleIn
Indicates that something represents the lowest level of scale within a context at which distinctions or effects are still meaningful or significant.
-
D.
isPointWhere
Indicates that one entity is the specific location or point at which another entity, event, or condition occurs or is defined.
-
E.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.