Triple

T8070907
Position Surface form Disambiguated ID Type / Status
Subject Santa Claus, Indiana E188369 entity
Predicate county P75 FINISHED
Object Spencer County E665325 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: Spencer County | Statement: [Santa Claus, Indiana, county, Spencer County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer County
Context triple: [Santa Claus, Indiana, county, Spencer County]
  • A. Spencer County, Indiana chosen
    Spencer County, Indiana is a rural county in the southwestern part of the state known for its agricultural landscape, small towns, and historic connection to Abraham Lincoln’s boyhood years.
  • B. Decatur County
    Decatur County is a rural county in the U.S. state of Iowa known for its agricultural landscape and small communities.
  • C. Decatur County
    Decatur County is a county in southwestern Georgia, United States, known for its county seat, the city of Bainbridge, and its location along the Flint River.
  • D. Owen County, Indiana
    Owen County, Indiana is a rural county in west-central Indiana known for its limestone quarries, small towns, and agricultural landscape.
  • E. Grundy County
    Grundy County is a rural county in central Iowa known for its agricultural landscape and small communities.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ffe29188190834ec4f71043a99d completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce020086788190be74e8e97d87013d completed April 2, 2026, 5:43 a.m.
Created at: March 30, 2026, 5:27 p.m.