Triple

T7200922
Position Surface form Disambiguated ID Type / Status
Subject Batavia, Illinois E168738 entity
Predicate nickname P55 FINISHED
Object Windmill City E451929 NE 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: Windmill City | Statement: [Batavia, Illinois, nickname, Windmill City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windmill City
Context triple: [Batavia, Illinois, nickname, Windmill City]
  • A. Windmill City chosen
    Windmill City is a nickname for Batavia, Illinois, reflecting its historic association with windmill manufacturing and numerous preserved windmills.
  • B. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • C. Bergville
    Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
  • D. Stormville
    Stormville is a small hamlet in the town of East Fishkill in Dutchess County, New York, known for its rural character and large flea market.
  • E. Blissville
    Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94971508190bb38184c9af2fe51 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfb0f4688190a677b818a0b3619c completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:52 p.m.