Triple

T18391092
Position Surface form Disambiguated ID Type / Status
Subject Dodd City, Texas E449727 entity
Predicate hasOfficialName P66 FINISHED
Object Dodd City, Texas 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: Dodd City, Texas | Statement: [Dodd City, Texas, hasOfficialName, Dodd City, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodd City, Texas
Context triple: [Dodd City, Texas, hasOfficialName, Dodd City, Texas]
  • A. Dodd City, Texas chosen
    Dodd City, Texas is a small rural town located in Fannin County in northeastern Texas.
  • B. Dodge, Texas
    Dodge, Texas is a small unincorporated rural community located in Walker County in eastern Texas.
  • C. Dunlap, Texas
    Dunlap, Texas is a small unincorporated rural community located in Cottle County in the U.S. state of Texas.
  • D. Dickinson, Texas
    Dickinson, Texas is a small city in Galveston County located between Houston and Galveston along Interstate 45 on the Texas Gulf Coast.
  • E. Vidor, Texas
    Vidor, Texas is a small city in southeastern Texas known as a bedroom community of nearby Beaumont and part of the Beaumont–Port Arthur metropolitan area.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518422e488190bd06fad72efa1641 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.