Triple

T10182554
Position Surface form Disambiguated ID Type / Status
Subject Ozar Airport E236822 entity
Predicate locatedIn P40 FINISHED
Object Ozar E815180 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: Ozar | Statement: [Ozar Airport, locatedIn, Ozar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozar
Context triple: [Ozar Airport, locatedIn, Ozar]
  • A. Ozar chosen
    Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
  • B. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • C. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • D. Turei Zahav
    Turei Zahav is a classic 17th-century halachic commentary by Rabbi David HaLevi Segal, primarily on the Shulchan Aruch and widely studied in traditional Jewish law.
  • E. Azar
    Azar is traditionally regarded in Islamic narratives as the father of the Prophet Ibrahim (Abraham) and an ancestor of later prophets including Ishaq (Isaac).
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3408b88190a7d981a6dcea48d9 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3013f0c54819092ee9c2c46fdf69e completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:12 p.m.