Triple

T6194335
Position Surface form Disambiguated ID Type / Status
Subject Dallas North Tollway E138471 entity
Predicate regionServed P82 FINISHED
Object Addison E15305 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: Addison | Statement: [Dallas North Tollway, regionServed, Addison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addison
Context triple: [Dallas North Tollway, regionServed, Addison]
  • A. Addison chosen
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • B. Addison
    Addison is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • C. Addison
    Addison is the first name of U.S. Senator Mitch McConnell, the longtime Republican leader from Kentucky.
  • D. Addison
    Addison is the middle name of Lewis Armistead, a Confederate general best known for his role in Pickett’s Charge during the American Civil War.
  • E. Blaine
    Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.