Triple

T4631652
Position Surface form Disambiguated ID Type / Status
Subject Episcopal Diocese of Texas E101429 entity
Predicate territoryIncludes P285 FINISHED
Object Spring, Texas E312231 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: Spring, Texas | Statement: [Episcopal Diocese of Texas, territoryIncludes, Spring, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spring, Texas
Context triple: [Episcopal Diocese of Texas, territoryIncludes, Spring, Texas]
  • A. Spring, Texas chosen
    Spring, Texas is a suburban community in the Greater Houston area known for its residential neighborhoods, proximity to major employment centers, and attractions like Old Town Spring.
  • B. Springtown, Texas
    Springtown, Texas is a small rural city in North Texas known for its close-knit community and location within the Dallas–Fort Worth metropolitan area.
  • C. Leo, Texas
    Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
  • D. Alexander, Texas
    Alexander, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
  • E. Commerce, Texas
    Commerce, Texas is a small city in northeastern Texas best known as the home of Texas A&M University–Commerce.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a32d6408190962e60b9bce7560d completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03652dc081908abc3e036f853edf completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.