Triple

T17846660
Position Surface form Disambiguated ID Type / Status
Subject Kfar Saba E445678 entity
Predicate hasSisterCity P919 FINISHED
Object Mitzpe Ramon 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: Mitzpe Ramon | Statement: [Kfar Saba, hasSisterCity, Mitzpe Ramon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitzpe Ramon
Context triple: [Kfar Saba, hasSisterCity, Mitzpe Ramon]
  • A. Mitzpe Ramon chosen
    Mitzpe Ramon is a small Israeli town best known for overlooking the vast Ramon Crater in the Negev desert and serving as a hub for desert tourism, stargazing, and nature activities.
  • B. Makhtesh Ramon
    Makhtesh Ramon is a large, uniquely shaped erosion crater in southern Israel renowned for its striking desert landscapes and geological significance.
  • C. Negev makhteshim
    Negev makhteshim are a group of unique, large erosion craters in Israel’s Negev Desert, renowned for their striking geological formations and scientific significance.
  • D. Makhtesh Gadol
    Makhtesh Gadol is a large, geologically unique erosion crater in Israel known for its striking desert landscapes and exposed rock formations.
  • E. Makhtesh Katan
    Makhtesh Katan is a small, geologically unique erosion crater in Israel known for its striking desert landscapes and exposed rock formations.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.