Triple

T11696618
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 183 E278011 entity
Predicate passesThrough P225 FINISHED
Object Luling, Texas E930744 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: Luling, Texas | Statement: [U.S. Route 183, passesThrough, Luling, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luling, Texas
Context triple: [U.S. Route 183, passesThrough, Luling, Texas]
  • A. Luling, Texas chosen
    Luling, Texas is a small city in Central Texas known historically for its oil boom and annual watermelon festival.
  • B. Lufkin, Texas
    Lufkin, Texas is a small East Texas city that serves as the county seat of Angelina County and a regional hub for the surrounding forest and timber industry.
  • C. Leo, Texas
    Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
  • D. Longview, Texas
    Longview, Texas is a mid-sized East Texas city known as a regional hub for the oil, gas, and manufacturing industries and for hosting the annual Great Texas Balloon Race.
  • E. Lucas, Texas
    Lucas, Texas is a small suburban city in North Texas known for its rural character, large residential lots, and location within the Dallas–Fort Worth metropolitan area.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1665e02f88190b805c72d3944a565 completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:40 p.m.