Triple

T20735967
Position Surface form Disambiguated ID Type / Status
Subject Malakoff, Texas E509706 entity
Predicate locatedNear P294 FINISHED
Object Trinidad, Texas NE NERFINISHED

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: Trinidad, Texas | Statement: [Malakoff, Texas, locatedNear, Trinidad, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinidad, Texas
Context triple: [Malakoff, Texas, locatedNear, Trinidad, Texas]
  • A. Trinidad, Texas chosen
    Trinidad, Texas is a small rural city in East Texas known for its location near the Trinity River and Cedar Creek Reservoir.
  • B. Trinity, Texas
    Trinity, Texas is a small East Texas city that serves as the largest population center and a local hub for Trinity County.
  • C. Trawick, Texas
    Trawick, Texas is a small unincorporated rural community located in Nacogdoches County in East Texas.
  • D. Troup, Texas
    Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
  • E. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20a02d48190bba22d1bdbeb370d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:31 p.m.