Triple

T8746575
Position Surface form Disambiguated ID Type / Status
Subject Hendricks County, Indiana E207842 entity
Predicate hasTown P847 FINISHED
Object Clayton, Indiana E724783 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: Clayton, Indiana | Statement: [Hendricks County, Indiana, hasTown, Clayton, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clayton, Indiana
Context triple: [Hendricks County, Indiana, hasTown, Clayton, Indiana]
  • A. Clayton, Indiana chosen
    Clayton, Indiana is a small town in central Indiana that forms part of the Indianapolis metropolitan area.
  • B. Clarksville, Indiana
    Clarksville, Indiana is a suburban town in southern Indiana along the Ohio River, known for its retail centers and proximity to Louisville, Kentucky.
  • C. Rochester, Indiana
    Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
  • D. Elwood, Indiana
    Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
  • E. Plainfield, Indiana
    Plainfield, Indiana is a growing suburban town in Hendricks County, west of Indianapolis, known for its extensive parks and trail system, strong logistics and distribution industry, and family-oriented community.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d75e7c88190a9e78fadb979e1b6 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43090d388190b6256623805a6348 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:39 p.m.