Triple

T7862596
Position Surface form Disambiguated ID Type / Status
Subject Dan Foy E182534 entity
Predicate workLocation P7 FINISHED
Object Burbank, Illinois E30333 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: Burbank, Illinois | Statement: [Dan Foy, workLocation, Burbank, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burbank, Illinois
Context triple: [Dan Foy, workLocation, Burbank, Illinois]
  • A. Burbank, Illinois chosen
    Burbank, Illinois is a suburban city southwest of Chicago known for its residential neighborhoods and proximity to Midway International Airport.
  • B. Elburn, Illinois
    Elburn, Illinois is a small village in the Chicago metropolitan area known for its rural character and role as a commuter rail terminus for Metra’s Union Pacific West Line.
  • C. Bensenville, Illinois
    Bensenville, Illinois is a suburban village near Chicago known for its proximity to O'Hare International Airport and its location in DuPage and Cook counties.
  • D. Burnham, Illinois
    Burnham, Illinois is a small village in Cook County near Chicago, known for its industrial landscape and proximity to the Calumet River and Lake Calumet.
  • E. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d181f4123c8190a15ee03b3156c6fd completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 4:53 p.m.