Triple
T2208606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tau lepton |
E50859
|
entity |
| Predicate | isPointLike |
P37462
|
FINISHED |
| Object | consistent with point-like down to current experimental limits |
—
|
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: consistent with point-like down to current experimental limits | Statement: [tau lepton, isPointLike, consistent with point-like down to current experimental limits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPointLike Context triple: [tau lepton, isPointLike, consistent with point-like down to current experimental limits]
-
A.
isPointWhere
Indicates that one entity is the specific location or point at which another entity, event, or condition occurs or is defined.
-
B.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
C.
containsPoint
Indicates that a geometric region or shape includes a given point within its boundaries.
-
D.
hasNumberOfPoints
Indicates that an entity is associated with a specific count of points it possesses or comprises.
-
E.
isNearlySpherical
Indicates that an object has a shape that closely approximates a sphere, with only minor deviations from perfect sphericity.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc1b912c08190b9d7bc9230e49d1d |
completed | March 7, 2026, 6:12 a.m. |
Created at: March 4, 2026, 7:46 p.m.