Triple

T4236142
Position Surface form Disambiguated ID Type / Status
Subject Francisville E94696 entity
Predicate usedInHistoricalContext P16500 FINISHED
Object yes 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: yes | Statement: [Francisville, usedInHistoricalContext, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInHistoricalContext
Context triple: [Francisville, usedInHistoricalContext, yes]
  • A. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • B. hasHistoriographicalUse chosen
    Indicates that something is used or cited within historical writing or analysis as part of constructing, interpreting, or debating historical narratives.
  • C. historicallyIn
    Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
  • D. historicallyConsidered
    Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
  • E. locatedInHistoricContext
    Indicates that an entity is situated within or associated with a historically significant setting, period, or environment.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e7422a88190955f5f4347fa80d2 completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f3bd188190b0cd613e8a5c1683 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.