Triple

T18292810
Position Surface form Disambiguated ID Type / Status
Subject Hibbat Zion E438157 entity
Predicate supportedSettlement P2741 FINISHED
Object Nes Ziona NE NERFINISHED

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: Nes Ziona | Statement: [Hibbat Zion, supportedSettlement, Nes Ziona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nes Ziona
Context triple: [Hibbat Zion, supportedSettlement, Nes Ziona]
  • A. Ness Ziona chosen
    Ness Ziona is a small city in central Israel known for its scientific research institutions and proximity to Tel Aviv.
  • B. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • C. Kiryat Hasharon
    Kiryat Hasharon is a residential neighborhood in the city of Netanya, Israel, known for its modern housing and family-oriented community.
  • D. Ra'anana
    Ra'anana is a prosperous suburban city in central Israel known for its high quality of life, strong education system, and significant high-tech and business presence.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50100d6488190bbe73668df9c4046 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.