Triple

T19739967
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 175 (Texas) E474087 entity
Predicate connectsCity P4245 FINISHED
Object Kaufman, 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: Kaufman, Texas | Statement: [U.S. Route 175 (Texas), connectsCity, Kaufman, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaufman, Texas
Context triple: [U.S. Route 175 (Texas), connectsCity, Kaufman, Texas]
  • A. Kaufman, Texas chosen
    Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
  • B. Karnes City, Texas
    Karnes City, Texas is a small South Texas city in Karnes County known historically for ranching and oil and gas activity.
  • C. 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.
  • D. Kress, Texas
    Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
  • E. Richwood, Texas
    Richwood, Texas is a small city in Brazoria County that forms part of the Greater Houston metropolitan region.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651607e388190bbb2aaed252820fe completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.