Triple

T9705040
Position Surface form Disambiguated ID Type / Status
Subject Nashik Airport E234876 entity
Predicate locatedNear P294 FINISHED
Object Ozar
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.
 E815180 NE FINISHED

How this triple was built (4 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: [Nashik Airport, locatedNear, Ozar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozar
Context triple: [Nashik Airport, locatedNear, Ozar]
  • A. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • B. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • C. 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.
  • D. 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).
  • E. Ozian
    Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ozar
Triple: [Nashik Airport, locatedNear, Ozar]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozar
Target entity description: 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.
  • A. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • B. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • C. 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.
  • D. 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).
  • E. Ozian
    Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
  • F. None of above. chosen

Provenance (5 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d74afb4819084174aab5bcdb6e0 completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19136b40c8190922052dd84d49f15 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193623fac8190a8dcdac664a977f3 completed April 4, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d193cc61208190b98fe862b295dda3 completed April 4, 2026, 10:42 p.m.
Created at: March 30, 2026, 8:18 p.m.