Triple
T5767098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALEPH |
E127241
|
entity |
| Predicate | colliderTypeStudied |
P25624
|
FINISHED |
| Object | electron–positron |
—
|
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: electron–positron | Statement: [ALEPH, colliderTypeStudied, electron–positron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colliderTypeStudied Context triple: [ALEPH, colliderTypeStudied, electron–positron]
-
A.
colliderType
chosen
Indicates the type or category of physical collision behavior defined for an object in a simulation or physics system.
-
B.
collider
Indicates that two or more entities participate together in operating or utilizing a particle collider or similar high-energy physics experimental facility.
-
C.
colliderUsed
Indicates that a particular collider or collision-detection component is employed or involved in an interaction or event between entities.
-
D.
collisionType
Indicates the specific kind or category of collision that occurs between two or more entities.
-
E.
colliderGeometry
Indicates that one entity defines the physical collision shape or boundary used to detect and resolve collisions for 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.