Triple

T11855993
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv metropolitan area E282040 entity
Predicate hasMunicipality P847 FINISHED
Object Ganei Tikva E376495 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: Ganei Tikva | Statement: [Tel Aviv metropolitan area, hasMunicipality, Ganei Tikva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganei Tikva
Context triple: [Tel Aviv metropolitan area, hasMunicipality, Ganei Tikva]
  • A. Ganei Tikva chosen
    Ganei Tikva is a small suburban town in central Israel known for its residential character and proximity to Tel Aviv.
  • B. Har HaTzofim
    Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
  • C. Shivat Tzion
    Shivat Tzion is the Hebrew term for the historic and religious concept of the Jewish people's return and restoration to the Land of Israel after exile.
  • D. Hatzerim
    Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
  • E. Boneh Yerushalayim
    Boneh Yerushalayim is the third blessing in the Jewish Grace After Meals, focusing on the rebuilding of Jerusalem and the restoration of the Temple.
  • 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.