Triple

T10624604
Position Surface form Disambiguated ID Type / Status
Subject H3RC E250289 entity
Predicate associatedWithBeam P6098 FINISHED
Object 58.8 m 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: 58.8 m | Statement: [H3RC, associatedWithBeam, 58.8 m]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithBeam
Context triple: [H3RC, associatedWithBeam, 58.8 m]
  • A. associatedWithFront
    Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
  • B. associatedWithParticle
    Indicates that an entity has a contextual or functional connection to a specific particle (such as a subatomic particle or grammatical particle).
  • C. hasTypicalBeam chosen
    Indicates that an entity is associated with a characteristic or standard type of beam it commonly uses or possesses.
  • D. associatedWithPub
    Indicates that an entity has a connection or relationship with a particular publication (e.g., as source, reference, or related work).
  • E. associatedWithMode
    Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 8:53 p.m.