Triple

T16593232
Position Surface form Disambiguated ID Type / Status
Subject Winkler County E403141 entity
Predicate borderedBy P224 FINISHED
Object Ector County 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: Ector County | Statement: [Winkler County, borderedBy, Ector County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ector County
Context triple: [Winkler County, borderedBy, Ector County]
  • A. Ector County chosen
    Ector County is a county in western Texas best known for encompassing the city of Odessa and its significant role in the Permian Basin oil industry.
  • B. Hidalgo County
    Hidalgo County is a populous county in South Texas along the U.S.–Mexico border, known for its rapidly growing communities and role in the Rio Grande Valley region.
  • C. San Jacinto County
    San Jacinto County is a largely rural county in East Texas known for its forests, lakes, and small communities within the Greater Houston region.
  • 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. Cypress County
    Cypress County is a rural municipal district in southeastern Alberta, Canada, surrounding the city of Medicine Hat and encompassing a mix of agricultural land, small communities, and natural areas.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d6fcaa48190b1ba7dc3b792041a completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:16 a.m.