Triple

T4665939
Position Surface form Disambiguated ID Type / Status
Subject Diamond Exchange District E102845 entity
Predicate nearbyCity P350 FINISHED
Object Bnei Brak E102846 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: Bnei Brak | Statement: [Diamond Exchange District, nearbyCity, Bnei Brak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bnei Brak
Context triple: [Diamond Exchange District, nearbyCity, Bnei Brak]
  • A. Bnei Brak chosen
    Bnei Brak is a densely populated city in Israel known as a major center of ultra-Orthodox Jewish life and culture.
  • B. Zikhron Ya’akov
    Zikhron Ya’akov is a historic town in northern Israel known for its early Zionist agricultural settlement, wineries, and scenic location overlooking the Mediterranean.
  • C. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • D. Kiryat Bialik
    Kiryat Bialik is a coastal city in northern Israel that forms part of the Haifa metropolitan area.
  • E. 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.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633c3ea08190b8a66afbba1dcb1c completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0384a1488190a59dc08766f526dd completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.