Triple

T587781
Position Surface form Disambiguated ID Type / Status
Subject On Physical Lines of Force E15196 entity
Predicate buildsOnConcept P7125 FINISHED
Object Faraday's lines of force 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: Faraday's lines of force | Statement: [On Physical Lines of Force, buildsOnConcept, Faraday's lines of force]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: buildsOnConcept
Context triple: [On Physical Lines of Force, buildsOnConcept, Faraday's lines of force]
  • A. builtOn
    Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
  • B. hasConcept
    Indicates that an entity includes, embodies, or is associated with a particular concept.
  • C. isBasedOn chosen
    Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
  • D. builtFrom
    Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
  • E. endsOn
    Indicates that one entity terminates or concludes precisely at the boundary or endpoint of 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494ca68448190a516b9c3525d8916 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.