Triple
T2208607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tau lepton |
E50859
|
entity |
| Predicate | PDGParticleID |
P37463
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [tau lepton, PDGParticleID, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PDGParticleID Context triple: [tau lepton, PDGParticleID, 15]
-
A.
isGaugeBosonOf
Indicates that one particle serves as the gauge boson mediating the fundamental interaction associated with another entity (such as a force or symmetry group).
-
B.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
-
C.
beamParticle
Indicates that one entity directs or projects another entity as a beam-like stream or focused flow.
-
D.
partDType
Indicates that one entity is classified as a specific subtype or category (type) of a part in relation to another entity.
-
E.
GNDID
Indicates a standardized authority identifier linking an entity to its unique record in the Gemeinsame Normdatei (GND) authority file.
- 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.