Triple

T8868119
Position Surface form Disambiguated ID Type / Status
Subject Ovilla, Texas E211070 entity
Predicate locatedNear P294 FINISHED
Object Lancaster, Texas E138742 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: Lancaster, Texas | Statement: [Ovilla, Texas, locatedNear, Lancaster, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster, Texas
Context triple: [Ovilla, Texas, locatedNear, Lancaster, Texas]
  • A. Lancaster, Texas chosen
    Lancaster, Texas is a suburban city in Dallas County that forms part of the Dallas–Fort Worth metropolitan area.
  • B. Lucas, Texas
    Lucas, Texas is a small suburban city in North Texas known for its rural character, large residential lots, and location within the Dallas–Fort Worth metropolitan area.
  • C. Lindsay, Texas
    Lindsay, Texas is a small rural community in North Texas known for its strong German-Catholic heritage and close-knit, agricultural character.
  • D. Lavon, Texas
    Lavon, Texas is a small city in Collin County that forms part of the Dallas–Fort Worth metropolitan area and lies near Lake Lavon in northeastern Texas.
  • E. Leonard, Texas
    Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0e247c88190a97c00ce20f9c1c1 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.