Triple

T16756082
Position Surface form Disambiguated ID Type / Status
Subject Town of Addison E407208 entity
Predicate locatedNear P294 FINISHED
Object Carrollton E25609 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: Carrollton | Statement: [Town of Addison, locatedNear, Carrollton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrollton
Context triple: [Town of Addison, locatedNear, Carrollton]
  • A. Carrollton chosen
    Carrollton is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities, business parks, and convenient access to major highways.
  • B. Carrollton
    Carrollton is a city in western Georgia that serves as a regional hub for education, commerce, and culture.
  • C. Carrollton, Alabama
    Carrollton, Alabama is a small historic town in western Alabama best known as the county seat of Pickens County and for its courthouse and local legends.
  • D. Burdette
    Burdette is a surname most notably associated with Lew Burdette, a prominent Major League Baseball pitcher of the mid-20th century.
  • E. Conroe
    Conroe is a city in southeastern Texas, United States, located north of Houston and known for its rapid growth and proximity to Lake Conroe.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abe831ec8190bac05b07db6153c1 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52886e48190b7a1e6fccd9a5709 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.