Triple

T6039376
Position Surface form Disambiguated ID Type / Status
Subject Lancaster Country Ride E134505 entity
Predicate location P40 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: [Lancaster Country Ride, location, Lancaster, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster, Texas
Context triple: [Lancaster Country Ride, location, 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ce10cc8190817ade56570adc92 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d4499dc8190943486cf1af83f0a completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:08 p.m.