Triple

T15862278
Position Surface form Disambiguated ID Type / Status
Subject Will County E384617 entity
Predicate hasVillage P4011 FINISHED
Object University Park E272744 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: University Park | Statement: [Will County, hasVillage, University Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University Park
Context triple: [Will County, hasVillage, University Park]
  • A. University Park
    University Park is an affluent, predominantly residential city in the Dallas–Fort Worth metropolitan area, best known as the home of Southern Methodist University.
  • B. University Park
    University Park is a Los Angeles neighborhood best known as the home of the University of Southern California and several major cultural and educational institutions.
  • C. University Park
    University Park is a residential neighborhood in North Portland, Oregon, known for its proximity to the University of Portland and its mix of quiet streets, parks, and campus-oriented community life.
  • D. University Park chosen
    University Park is a village in Will County, Illinois, located at the southern edge of the Chicago metropolitan area.
  • E. University Park
    University Park is the main campus of Pennsylvania State University, located in State College, Pennsylvania.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.