Triple

T22468169
Position Surface form Disambiguated ID Type / Status
Subject Highway 70 (Israel) E555414 entity
Predicate passesNear P416 FINISHED
Object Tamra 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: Tamra | Statement: [Highway 70 (Israel), passesNear, Tamra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamra
Context triple: [Highway 70 (Israel), passesNear, Tamra]
  • A. Tamra
    Tamra is a figure in Hindu mythology known as one of the wives of the sage Kashyapa and the mother of various bird species.
  • B. Tamra chosen
    Tamra is an Arab town in northern Israel that became part of the state during the 1948 Arab–Israeli War and has since developed into a significant local center for the region’s Arab community.
  • C. Tamela
    Tamela is a feminine given name most notably borne by American gospel singer and actress Tamela Mann.
  • D. Tyna
    Tyna is a given name, typically used as a feminine variant of names like Tina.
  • E. Tamina
    Tamina is a central, tragic figure in Milan Kundera’s novel "The Book of Laughter and Forgetting," symbolizing memory, loss, and the struggle against erasure.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdda62c8190937ac13a4481b4b7 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.