Triple

T3561761
Position Surface form Disambiguated ID Type / Status
Subject Sde Dov Airport E75353 entity
Predicate locatedNear P294 FINISHED
Object Ramat Aviv E370949 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: Ramat Aviv | Statement: [Sde Dov Airport, locatedNear, Ramat Aviv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramat Aviv
Context triple: [Sde Dov Airport, locatedNear, Ramat Aviv]
  • A. Ramat Aviv chosen
    Ramat Aviv is a residential neighborhood in northwestern Tel Aviv, Israel, known for its academic institutions, including Tel Aviv University, and its relatively affluent, suburban character.
  • B. 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.
  • C. Ramat Hasharon
    Ramat Hasharon is a city in Israel’s Tel Aviv District, known as an affluent suburban community and home to Israel’s national tennis center.
  • D. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • E. Silwan
    Silwan is a predominantly Palestinian neighborhood in East Jerusalem known for its historical significance, archaeological sites, and ongoing political and legal disputes over land and housing.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08bdde88190915d2f6ddf26e00e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44ef5f5348190b1088edee0d9d55c completed March 13, 2026, 5:52 p.m.
Created at: March 8, 2026, 3:21 p.m.