Triple

T18070096
Position Surface form Disambiguated ID Type / Status
Subject Falls County E432401 entity
Predicate containsSettlement P847 FINISHED
Object Reagan, 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: Reagan, Texas | Statement: [Falls County, containsSettlement, Reagan, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reagan, Texas
Context triple: [Falls County, containsSettlement, Reagan, Texas]
  • A. Reagan, Texas chosen
    Reagan, Texas is a small unincorporated rural community located in Falls County in central Texas.
  • B. Rosenberg, Texas
    Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
  • C. Whitehouse, Texas
    Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
  • D. Stinnett, Texas
    Stinnett, Texas is a small city in the Texas Panhandle that serves as an administrative and service hub for the surrounding rural area.
  • E. Rosharon, Texas
    Rosharon, Texas is a small unincorporated community in Brazoria County that functions as an exurban area within 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cced29fc81908e87b4f1990fa0d8 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.