Triple

T11855988
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv metropolitan area E282040 entity
Predicate hasMunicipality P847 FINISHED
Object Rosh HaAyin E647332 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: Rosh HaAyin | Statement: [Tel Aviv metropolitan area, hasMunicipality, Rosh HaAyin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosh HaAyin
Context triple: [Tel Aviv metropolitan area, hasMunicipality, Rosh HaAyin]
  • A. Rosh HaAyin chosen
    Rosh HaAyin is a city in central Israel known for its rapid development, diverse population, and proximity to major transportation routes and employment centers.
  • B. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • C. Ramat Yishai
    Ramat Yishai is a small local council town in northern Israel’s Jezreel Valley, known for its residential character and proximity to major Galilee and Haifa-area communities.
  • D. Givatayim
    Givatayim is a small, densely populated city in Israel’s Tel Aviv metropolitan area, known for its residential character and proximity to major urban centers.
  • E. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan 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_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.