Triple

T16537058
Position Surface form Disambiguated ID Type / Status
Subject Caldwell County, Texas E401719 entity
Predicate containsSettlement P847 FINISHED
Object Martindale, 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: Martindale, Texas | Statement: [Caldwell County, Texas, containsSettlement, Martindale, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martindale, Texas
Context triple: [Caldwell County, Texas, containsSettlement, Martindale, Texas]
  • A. Martindale, Texas chosen
    Martindale, Texas is a small rural city in Central Texas known for its historic charm and location along the San Marcos River.
  • B. Mart, Texas
    Mart, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
  • C. Martinsville, Texas
    Martinsville, Texas is a small unincorporated rural community located in Nacogdoches County in East Texas.
  • D. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • E. Marysville, Texas
    Marysville, Texas is a small unincorporated rural community located in Cooke County in north-central 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
Created at: April 10, 2026, 5:15 a.m.