Triple

T10069397
Position Surface form Disambiguated ID Type / Status
Subject Howe, Texas E213579 entity
Predicate abbreviation P43 FINISHED
Object Howe, TX E213579 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: Howe, TX | Statement: [Howe, Texas, abbreviation, Howe, TX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howe, TX
Context triple: [Howe, Texas, abbreviation, Howe, TX]
  • A. Howe, Texas chosen
    Howe, Texas is a small town in North Texas located in Grayson County, known for its rural community character and proximity to the Sherman–Denison area.
  • B. Hawkins, Texas
    Hawkins, Texas is a small city in East Texas known as the "Pancake Capital of Texas" and as the home of Jarvis Christian University.
  • C. Hearne, Texas
    Hearne, Texas is a small city in Robertson County that serves as a regional rail and transportation hub within the Brazos Valley of Central Texas.
  • D. Hewitt, Texas
    Hewitt, Texas is a suburban city in McLennan County, part of the Waco metropolitan area in central Texas.
  • E. Whitehouse, Texas
    Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a96fc888190aec7cd364a0d7fb1 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.