Triple

T6693583
Position Surface form Disambiguated ID Type / Status
Subject Dallas urban area E152689 entity
Predicate hasSuburb P747 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: [Dallas urban area, hasSuburb, Carrollton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrollton
Context triple: [Dallas urban area, hasSuburb, 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. 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.
  • E. Rowlett
    Rowlett is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its location along Lake Ray Hubbard and family-oriented residential communities.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129315c08190a9b72b8119c71e20 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:05 p.m.