Triple

T18621576
Position Surface form Disambiguated ID Type / Status
Subject Coryell County E455163 entity
Predicate containsPartOf P1393 FINISHED
Object Fort Cavazos 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: Fort Cavazos | Statement: [Coryell County, containsPartOf, Fort Cavazos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Cavazos
Context triple: [Coryell County, containsPartOf, Fort Cavazos]
  • A. Fort Cavazos chosen
    Fort Cavazos is a major U.S. Army installation in Texas that serves as a key training and operational base for armored and mechanized forces.
  • B. Fort Sam Houston
    Fort Sam Houston is a major U.S. Army installation in San Antonio, Texas, known for its historic role in military training, command, and medical operations.
  • C. Fort Bliss
    Fort Bliss is a major United States Army installation in West Texas and New Mexico, known for air defense artillery training and extensive desert training grounds.
  • D. Fort Wolters
    Fort Wolters is a former U.S. Army training base near Mineral Wells, Texas, best known as a major helicopter training center during the Vietnam War era.
  • E. Fort Texas
    Fort Texas was a U.S. Army fortification built near present-day Brownsville, Texas, that played a key role in the opening clashes of the Mexican–American War.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0146f48190a872032db6e660c6 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.