Triple

T9733379
Position Surface form Disambiguated ID Type / Status
Subject TX-4 E235998 entity
Predicate hasCity P316 FINISHED
Object Denison, Texas E3097 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: Denison, Texas | Statement: [TX-4, hasCity, Denison, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denison, Texas
Context triple: [TX-4, hasCity, Denison, Texas]
  • A. Denison, Texas, United States chosen
    Denison, Texas, United States, is a North Texas city best known as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. Dickinson, Texas
    Dickinson, Texas is a small city in Galveston County located between Houston and Galveston along Interstate 45 on the Texas Gulf Coast.
  • C. DeSoto, Texas
    DeSoto, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • D. Richwood, Texas
    Richwood, Texas is a small city in Brazoria County that forms part of the Greater Houston metropolitan region.
  • E. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb54fe481908b0202f104b75dc1 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5a1a3b88190a1b4561a9a780e41 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:22 p.m.