Triple

T1168339
Position Surface form Disambiguated ID Type / Status
Subject Zionsville, Indiana, United States E24850 entity
Predicate hasHistoricCharacteristic P18777 FINISHED
Object village-style downtown 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: village-style downtown | Statement: [Zionsville, Indiana, United States, hasHistoricCharacteristic, village-style downtown]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricCharacteristic
Context triple: [Zionsville, Indiana, United States, hasHistoricCharacteristic, village-style downtown]
  • A. hasHistoricalEntity
    Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
  • B. isHistoric
    Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
  • C. historicalCharacteristic chosen
    Indicates that an entity possesses a trait, feature, or quality that is rooted in or defined by its history or past events.
  • D. hasHistoricalShiftTo
    Indicates a change over time in which one state, condition, or configuration is replaced or transformed into another in a historically traceable way.
  • E. hasHistoricalPrecursor
    Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccef84481908864e819884af86c completed March 1, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69a4bb5656948190b0b1d5446ad06005 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.