Triple

T13407893
Position Surface form Disambiguated ID Type / Status
Subject FM 407 E320008 entity
Predicate serves P98 FINISHED
Object Denton County E15938 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: Denton County | Statement: [FM 407, serves, Denton County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denton County
Context triple: [FM 407, serves, Denton County]
  • A. Denton County, Texas chosen
    Denton County, Texas is a rapidly growing county in the Dallas–Fort Worth metropolitan area known for its suburban communities, higher education institutions, and proximity to major urban centers.
  • B. Tarrant County, Texas
    Tarrant County, Texas is a major urban county in North Texas that includes the city of Fort Worth and forms part of the Dallas–Fort Worth metropolitan area.
  • C. Hood County
    Hood County is a county in north-central Texas known for its seat in Granbury and its recreational lakefront areas, including Lake Granbury.
  • D. Gillespie County
    Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
  • E. McLennan County
    McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
Created at: April 9, 2026, 9:35 p.m.