Triple

T8134383
Position Surface form Disambiguated ID Type / Status
Subject Green Line (DART) E189932 entity
Predicate servesArea P82 FINISHED
Object Carrollton, Texas 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, Texas | Statement: [Green Line (DART), servesArea, Carrollton, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrollton, Texas
Context triple: [Green Line (DART), servesArea, Carrollton, Texas]
  • A. Carrollton
    Carrollton is a city in western Georgia that serves as a regional hub for education, commerce, and culture.
  • B. 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.
  • C. Alexander, Texas
    Alexander, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
  • 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. Rockwall, Texas
    Rockwall, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its lakeside recreation on Lake Ray Hubbard and its namesake natural rock wall formation.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43bbae608190bdc1afe6f0ab83ae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3457196081909f739af8c17b4d4c completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:35 p.m.