Triple

T9705026
Position Surface form Disambiguated ID Type / Status
Subject Nashik Airport E234876 entity
Predicate serves P98 FINISHED
Object city of Nashik E32761 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: city of Nashik | Statement: [Nashik Airport, serves, city of Nashik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Nashik
Context triple: [Nashik Airport, serves, city of Nashik]
  • A. Nashik chosen
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • B. Nashik metropolitan region
    The Nashik metropolitan region is a major urban and industrial agglomeration in the Indian state of Maharashtra centered around the city of Nashik.
  • C. Nashik Municipal Corporation
    Nashik Municipal Corporation is the local governing body responsible for administering and providing civic infrastructure and services in the city of Nashik, Maharashtra, India.
  • D. Nagar
    Nagar is a town in India’s historic Braj region, an area closely associated with the life and legends of Lord Krishna.
  • E. Nagar
    Nagar is an ancient archaeological site in Upper Mesopotamia, known as a significant early urban center of the Bronze Age Near East.
  • 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_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_69d2b58f7ea08190a96d88bafe9d4308 completed April 5, 2026, 7:18 p.m.
Created at: March 30, 2026, 8:18 p.m.