Triple

T33748875
Position Surface form Disambiguated ID Type / Status
Subject Andrews family (local railroad officials) E864778 entity
Predicate localityOfInfluence P148451 FINISHED
Object Andrews, South Carolina NE NERFINISHED

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: Andrews, South Carolina | Statement: [Andrews family (local railroad officials), localityOfInfluence, Andrews, South Carolina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localityOfInfluence
Context triple: [Andrews family (local railroad officials), localityOfInfluence, Andrews, South Carolina]
  • A. nearbyInfluence
    Indicates that one entity affects or exerts influence on another due to being physically or spatially close to it.
  • B. coversLocality
    Indicates that one entity spatially includes or encompasses the area or extent of a specified locality.
  • C. localityCondition
    Indicates a spatial or contextual constraint specifying where or under what local conditions a relationship, event, or property holds.
  • D. hasLocalImpact
    Indicates that an entity produces effects or consequences within a specific local area or community.
  • E. subjectLocality chosen
    Indicates that one entity serves as the geographic or jurisdictional area associated with, relevant to, or governing the other 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_69f3498c35f881909df279ae4270f831 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f757898fe48190b124dc7301672623 completed May 3, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f754c484348190948d2a04ff228fb1 completed May 3, 2026, 1:59 p.m.
Created at: May 1, 2026, 1:45 a.m.