Triple

T11856031
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv metropolitan area E282040 entity
Predicate contains P35 FINISHED
Object Yarkon Park E593764 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: Yarkon Park | Statement: [Tel Aviv metropolitan area, contains, Yarkon Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yarkon Park
Context triple: [Tel Aviv metropolitan area, contains, Yarkon Park]
  • A. Givatayim Park
    Givatayim Park is a central urban green space in the city of Givatayim, Israel, known for its recreational areas, walking paths, and cultural events.
  • B. Yarkon National Park chosen
    Yarkon National Park is a major urban nature and recreation area along the Yarkon River in the Tel Aviv region, featuring green spaces, historical sites, and walking and cycling paths.
  • C. Karmiel Park
    Karmiel Park is a public recreational green space located in the city of Karmiel in northern Israel.
  • D. Beer Sheva Park
    Beer Sheva Park is a public waterfront park in Seattle’s Rainier Beach neighborhood, known for its access to Lake Washington and community recreation spaces.
  • E. Ramat Hasharon
    Ramat Hasharon is a city in Israel’s Tel Aviv District, known as an affluent suburban community and home to Israel’s national tennis center.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.