Triple

T3597470
Position Surface form Disambiguated ID Type / Status
Subject Wood County, Texas E76173 entity
Predicate containsSettlement P847 FINISHED
Object Mineola, Texas E521541 NE FINISHED

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: [Wood County, Texas, containsSettlement, Mineola, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mineola, Texas
Context triple: [Wood County, Texas, containsSettlement, 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. 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.
  • C. Moody, Texas
    Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
  • D. Hannibal, Texas
    Hannibal, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
  • E. Malakoff, Texas
    Malakoff, Texas is a small city in East Texas known historically for its brick manufacturing and proximity to Cedar Creek Reservoir.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19c71608190a87c98214321214c completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c17c9e0819088404cd2d81bfe88 completed March 22, 2026, 4:12 a.m.
Created at: March 8, 2026, 3:22 p.m.