Triple

T17083563
Position Surface form Disambiguated ID Type / Status
Subject United States Census Bureau places in Texas E414534 entity
Predicate hasPart P35 FINISHED
Object Tyler, 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: Tyler, Texas | Statement: [United States Census Bureau places in Texas, hasPart, Tyler, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler, Texas
Context triple: [United States Census Bureau places in Texas, hasPart, Tyler, Texas]
  • A. Tyler, Texas chosen
    Tyler, Texas is a mid-sized East Texas city known as the “Rose Capital of America” for its large rose industry and annual Texas Rose Festival.
  • B. Justin, Texas
    Justin, Texas is a small city in Denton County within the Dallas–Fort Worth metropolitan area, known for its rural character and proximity to major urban centers.
  • C. Taylor, Texas
    Taylor, Texas is a small city in central Texas known for its historic downtown, agricultural roots, and location within the Greater Austin metropolitan area.
  • D. Alexander, Texas
    Alexander, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
  • E. Taft, Texas
    Taft, Texas is a small city in San Patricio County that functions as part of the greater Corpus Christi metropolitan region in South Texas.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe4d3908190b23ce3c2d3fe7d14 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.