Triple

T2777723
Position Surface form Disambiguated ID Type / Status
Subject Texas's 35th congressional district E61613 entity
Predicate containsPartOfCounty P5971 FINISHED
Object Hays County E102985 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: Hays County | Statement: [Texas's 35th congressional district, containsPartOfCounty, Hays County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hays County
Context triple: [Texas's 35th congressional district, containsPartOfCounty, Hays County]
  • A. Hays County chosen
    Hays County is a rapidly growing county in Central Texas, located just southwest of Austin and known for its Hill Country landscapes and suburban communities.
  • 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. Ector County
    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.
  • 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. Gray County
    Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62788456c8190a484826e5d915d9a completed March 15, 2026, 3:29 a.m.
Created at: March 6, 2026, 9:57 p.m.