Triple

T13708237
Position Surface form Disambiguated ID Type / Status
Subject Delco E328700 entity
Predicate containsSportsVenue P5119 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: [Delco, containsSportsVenue, Subaru Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subaru Park
Context triple: [Delco, containsSportsVenue, 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. Nakajima Park
    Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
  • C. Toyohira Park
    Toyohira Park is a public green space in Sapporo, Japan, known for its recreational facilities, walking paths, and seasonal scenery enjoyed by local residents and visitors.
  • D. Santaka Park
    Santaka Park is a scenic public park in Kaunas, Lithuania, located at the confluence of the Nemunas and Neris rivers and known for its green spaces, walking paths, and historical surroundings.
  • E. Shiba Park
    Shiba Park is a historic public park in Tokyo known for its views of Tokyo Tower, temples, and seasonal greenery.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad18d48c8190a26be865c31975d6 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d52b3708190ae0945e65b271556 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.