Triple

T5392276
Position Surface form Disambiguated ID Type / Status
Subject St. Louis City SC E120359 entity
Predicate homeStadium P890 FINISHED
Object CityPark E517670 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: CityPark | Statement: [St. Louis City SC, homeStadium, CityPark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CityPark
Context triple: [St. Louis City SC, homeStadium, CityPark]
  • A. CityPark chosen
    CityPark is a modern soccer-specific stadium in downtown St. Louis that serves as the home of Major League Soccer club St. Louis City SC.
  • B. City Park
    City Park is a public recreational park in Burlington, North Carolina, known for its family-friendly amenities and outdoor activities.
  • C. City Park
    City Park is a large historic urban park in Denver known for its lakes, recreation areas, and proximity to major cultural institutions like the Denver Zoo and Denver Museum of Nature & Science.
  • D. City Park
    City Park was the original name of Balboa Park, a large historic urban cultural park in San Diego, California.
  • E. City Park
    City Park is a popular historic public park in Fort Collins, Colorado, known for its large lake, open green spaces, and community recreation areas.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd8719ff04819089e3a90f90b5e3fc completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a9b9ff881908edc10f29f62df1c completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 2:04 p.m.