Triple

T4511269
Position Surface form Disambiguated ID Type / Status
Subject Texas Triangle E102058 entity
Predicate containsCity P294 FINISHED
Object Killeen E213872 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: Killeen | Statement: [Texas Triangle, containsCity, Killeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killeen
Context triple: [Texas Triangle, containsCity, Killeen]
  • A. Killeen, Texas chosen
    Killeen, Texas is a central Texas city best known as the civilian community adjacent to the large U.S. Army installation Fort Cavazos (formerly Fort Hood).
  • B. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • C. Corryton
    Corryton is an unincorporated community in northeastern Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • D. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • E. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571412788190a374abd1e05519e4 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f875c4c81909e67d44b605816c2 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.