Triple

T14762112
Position Surface form Disambiguated ID Type / Status
Subject Kōtō, Tokyo, Japan E346890 entity
Predicate containsPark P22590 FINISHED
Object Yumenoshima Park E1078487 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: Yumenoshima Park | Statement: [Kōtō, Tokyo, Japan, containsPark, Yumenoshima Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yumenoshima Park
Context triple: [Kōtō, Tokyo, Japan, containsPark, Yumenoshima Park]
  • A. Yumenoshima Park chosen
    Yumenoshima Park is a large recreational green space in Tokyo known for its sports facilities, tropical greenhouse dome, and waterfront location on a reclaimed island.
  • B. Nakanoshima Park
    Nakanoshima Park is a scenic riverside public park in central Osaka known for its rose gardens, waterfront views, and cultural facilities.
  • C. Nojima Park
    Nojima Park is a seaside public park in Yokohama known for its coastal views, green spaces, and recreational facilities.
  • D. Shakujii Park
    Shakujii Park is a large, scenic public park in Tokyo known for its ponds, wooded areas, and historic sites, offering a popular spot for recreation and nature walks.
  • E. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388aeb9c819099a987a819959479 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.