Triple

T22474531
Position Surface form Disambiguated ID Type / Status
Subject Sharon Subdistrict E555592 entity
Predicate contains P35 FINISHED
Object Kfar Saba 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: Kfar Saba | Statement: [Sharon Subdistrict, contains, Kfar Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kfar Saba
Context triple: [Sharon Subdistrict, contains, Kfar Saba]
  • A. Kfar Saba chosen
    Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
  • B. Kfar Haim
    Kfar Haim is an agricultural moshav in central Israel named in memory of Zionist leader Haim Arlosoroff.
  • C. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • D. Kiryat Hasharon
    Kiryat Hasharon is a residential neighborhood in the city of Netanya, Israel, known for its modern housing and family-oriented community.
  • E. Kiryat Shmona
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2d5388190a59d11b3403d998b completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.