Triple

T1661996
Position Surface form Disambiguated ID Type / Status
Subject Chester, Pennsylvania E35928 entity
Predicate hasSportsFacility P105 FINISHED
Object Subaru Park E55999 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: Subaru Park | Statement: [Chester, Pennsylvania, hasSportsFacility, Subaru Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subaru Park
Context triple: [Chester, Pennsylvania, hasSportsFacility, Subaru Park]
  • A. Subaru Park chosen
    Subaru Park is a soccer-specific stadium in Chester, Pennsylvania, best known as the home venue of Major League Soccer’s Philadelphia Union.
  • B. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • C. Hirakata Park
    Hirakata Park is a long-running amusement park in Hirakata, Osaka Prefecture, Japan, featuring a variety of rides, seasonal events, and family-oriented attractions.
  • D. Sloan Park
    Sloan Park is a baseball stadium in Mesa, Arizona that serves as the Chicago Cubs’ spring training home.
  • E. Kalorama Park
    Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab3bd7081908d15d772b10aebbe completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71adb0388190b358e83fa8dfaef5 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.