Triple

T13074511
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County, Texas E329537 entity
Predicate hasCity P316 FINISHED
Object Montgomery, Texas E555463 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: Montgomery, Texas | Statement: [Montgomery County, Texas, hasCity, Montgomery, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery, Texas
Context triple: [Montgomery County, Texas, hasCity, Montgomery, Texas]
  • A. Montgomery, Texas chosen
    Montgomery, Texas is a small historic town in southeastern Texas often recognized as one of the birthplaces of the Texas state flag.
  • B. Richmond, Texas
    Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
  • C. Trenton, Texas
    Trenton, Texas is a small rural city in North Texas known for its agricultural community and location within Fannin County.
  • D. Livingston, Texas
    Livingston, Texas is a small East Texas town that serves as a regional hub for government, commerce, and outdoor recreation near Lake Livingston.
  • 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 (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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9 p.m.