Triple

T10820185
Position Surface form Disambiguated ID Type / Status
Subject Texas and Pacific Railway E255345 entity
Predicate laterHeadquartersLocation P12035 FINISHED
Object Dallas, Texas E895922 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: Dallas, Texas | Statement: [Texas and Pacific Railway, laterHeadquartersLocation, Dallas, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas, Texas
Context triple: [Texas and Pacific Railway, laterHeadquartersLocation, Dallas, Texas]
  • A. Dallas, Texas
    Dallas, Texas is a major metropolitan city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and telecommunications.
  • B. Dallas
    Dallas is a popular American comic strip created by cartoonist Jim Davis.
  • C. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • D. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • E. Dallas chosen
    Dallas is a major city in north Texas known for its role as a commercial and cultural hub, with a rich history in railroads, oil, and telecommunications.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73449eee88190afa52c4e6ef96baa completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6d27d8c8190b2c8ee9c54cf7fd1 completed April 18, 2026, 8:17 p.m.
Created at: April 8, 2026, 9:18 p.m.