Triple

T5965733
Position Surface form Disambiguated ID Type / Status
Subject Haifa District E132745 entity
Predicate containsCity P294 FINISHED
Object Kiryat Tivon E231588 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: Kiryat Tivon | Statement: [Haifa District, containsCity, Kiryat Tivon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiryat Tivon
Context triple: [Haifa District, containsCity, Kiryat Tivon]
  • A. Petah Tikva
    Petah Tikva is a major city in central Israel, known as one of the country’s oldest modern Jewish settlements and a significant industrial and commercial hub in the Tel Aviv metropolitan area.
  • B. Kiryat Tiv'on chosen
    Kiryat Tiv'on is a town in northern Israel, near Haifa, known for its residential character and proximity to archaeological and natural sites.
  • C. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • D. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • E. Kiryat Haim
    Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3ca1dc819098cde8ae5ec1d845 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63849a59881909e32c0271b4beb51 completed March 27, 2026, 7:56 a.m.
Created at: March 22, 2026, 4:03 p.m.