Triple

T16340812
Position Surface form Disambiguated ID Type / Status
Subject Vanves E396795 entity
Predicate hasTwinTown P919 FINISHED
Object Rosh HaAyin E647332 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: Rosh HaAyin | Statement: [Vanves, hasTwinTown, Rosh HaAyin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosh HaAyin
Context triple: [Vanves, hasTwinTown, Rosh HaAyin]
  • A. Rosh HaAyin chosen
    Rosh HaAyin is a city in central Israel known for its rapid development, diverse population, and proximity to major transportation routes and employment centers.
  • B. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • C. 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.
  • D. 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.
  • E. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da09dcf48190b6fdd14b1812c56a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dadcaa48190865cec201cde47e3 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.