Triple

T21720463
Position Surface form Disambiguated ID Type / Status
Subject La Grange, California E536140 entity
Predicate namedAfter P63 FINISHED
Object La Grange, Tennessee 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: La Grange, Tennessee | Statement: [La Grange, California, namedAfter, La Grange, Tennessee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Grange, Tennessee
Context triple: [La Grange, California, namedAfter, La Grange, Tennessee]
  • A. La Grange, Tennessee chosen
    La Grange, Tennessee is a small historic town in western Tennessee known for its well-preserved 19th-century architecture and quiet rural character.
  • B. Southside, Tennessee
    Southside, Tennessee is a rural unincorporated community located in Montgomery County in the north-central part of the state.
  • C. Rutledge, Tennessee
    Rutledge, Tennessee is a small city in eastern Tennessee that serves as the administrative and commercial hub of Grainger County.
  • D. Martin, Tennessee
    Martin, Tennessee is a small city in northwestern Tennessee best known as the home of the University of Tennessee at Martin.
  • E. Gray, Tennessee
    Gray, Tennessee is a small unincorporated community and suburb of Johnson City in northeastern Tennessee, known for its residential character and proximity to regional attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96de818819084c268d4775a8e3a completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.