Triple

T24916356
Position Surface form Disambiguated ID Type / Status
Subject HERA E623995 entity
Predicate alsoCollided P12942 FINISHED
Object positron–proton 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: positron–proton | Statement: [HERA, alsoCollided, positron–proton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoCollided
Context triple: [HERA, alsoCollided, positron–proton]
  • A. marksCollisionBetween
    Indicates a recorded event or state where two or more entities have come into contact or collided with each other.
  • B. collidesWith chosen
    Indicates that two entities come into contact with each other in space, typically implying an impact or physical intersection of their paths or volumes.
  • C. sharesColliderWith
    Indicates that two entities are configured to use or occupy the same physics collider, causing them to share collision detection behavior.
  • D. collisionAttackKnown
    Indicates that a collision-based attack method or vulnerability is known or has been discovered.
  • E. collisionResult
    Indicates the outcome or consequence that occurs when two or more entities collide.
  • 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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4238c52488190a58b1191f4dc3373 completed May 1, 2026, 3:52 a.m.
PD Predicate disambiguation batch_69f4210130d08190ae30b7943f7a0bbc completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:28 a.m.