Triple

T2735586
Position Surface form Disambiguated ID Type / Status
Subject Herzliya E60622 entity
Predicate hasNeighborhood P40 FINISHED
Object Herzliya Pituach E60622 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: Herzliya Pituach | Statement: [Herzliya, hasNeighborhood, Herzliya Pituach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herzliya Pituach
Context triple: [Herzliya, hasNeighborhood, Herzliya Pituach]
  • A. Herzliya chosen
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • B. Rehovot
    Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
  • C. 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.
  • D. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • E. Keren Hayesod
    Keren Hayesod is a central fundraising organization for Israel and the Jewish people worldwide, supporting immigration, settlement, and social development projects in partnership with major Zionist institutions.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb1022488190af84e536946b2e37 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a37fdc8190bcdb33d7352d9e16 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.