Triple

T4234098
Position Surface form Disambiguated ID Type / Status
Subject South-Central Texas E94650 entity
Predicate containsCounty P5971 FINISHED
Object Comal County E333586 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: Comal County | Statement: [South-Central Texas, containsCounty, Comal County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comal County
Context triple: [South-Central Texas, containsCounty, Comal County]
  • A. Comal County chosen
    Comal County is a county in south-central Texas known for its scenic Hill Country landscapes, rivers, and rapidly growing communities such as New Braunfels.
  • B. 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.
  • C. 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.
  • D. Hays County
    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.
  • E. Gillespie County
    Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba400cd88190a2348ec3ac6b711e completed March 21, 2026, 3:33 p.m.
Created at: March 12, 2026, 11:05 p.m.