Triple

T16128811
Position Surface form Disambiguated ID Type / Status
Subject North Wiltshire E391339 entity
Predicate hasRepresentationStart P51822 FINISHED
Object 1832 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: 1832 | Statement: [North Wiltshire, hasRepresentationStart, 1832]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRepresentationStart
Context triple: [North Wiltshire, hasRepresentationStart, 1832]
  • A. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • B. hasRepresentationFrom
    Indicates that something serves as a representation, depiction, or encoding that originates from or is derived from another entity.
  • C. representationBegins chosen
    Indicates that the act or state of representing something starts or comes into effect at a particular point in time.
  • D. hasRepresentationContinuity
    Indicates that one entity maintains a consistent or continuous representational relationship with another across time, context, or state changes.
  • E. hasCanonicalRepresentation
    Indicates that one entity is the standard or authoritative form in which another entity is represented.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20206a6f08190aa648d2bb11e7878 completed April 17, 2026, 9:48 a.m.
PD Predicate disambiguation batch_69e1828518c48190a8ef3aaa46a1f639 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.