Triple

T4191501
Position Surface form Disambiguated ID Type / Status
Subject ORD E89046 entity
Predicate hasFormerName P65 FINISHED
Object Orchard Field E138071 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: Orchard Field | Statement: [ORD, hasFormerName, Orchard Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orchard Field
Context triple: [ORD, hasFormerName, Orchard Field]
  • A. Eichelberger Field
    Eichelberger Field is a collegiate softball stadium that serves as the home field for the University of Illinois Fighting Illini softball team.
  • B. Mills Field
    Mills Field was the original name of the airport that later became San Francisco International Airport, serving as the main airfield for the San Francisco Bay Area in its early years.
  • C. Breese Stevens Field
    Breese Stevens Field is a historic multi-purpose stadium in Madison, Wisconsin, best known today as the home venue of professional soccer club Forward Madison FC.
  • D. Lewis Field
    Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
  • E. Orchard Field Airport chosen
    Orchard Field Airport was the original name of what is now Chicago’s O’Hare International Airport, one of the world’s busiest aviation 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034019848190bd5486521c375325 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a08bb6881909bdd7643626e1a64 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.