Triple

T15469062
Position Surface form Disambiguated ID Type / Status
Subject Golden, Texas E372107 entity
Predicate locatedNear P294 FINISHED
Object Mineola, 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: Mineola, Texas | Statement: [Golden, Texas, locatedNear, Mineola, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mineola, Texas
Context triple: [Golden, Texas, locatedNear, Mineola, Texas]
  • A. Mineola, Texas chosen
    Mineola, Texas is a small East Texas city known as a regional hub for railroads, agriculture, and antique shopping.
  • B. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • C. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • D. New London, Texas
    New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
  • E. Moody, Texas
    Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
Created at: April 10, 2026, 3:33 a.m.