Triple

T10576812
Position Surface form Disambiguated ID Type / Status
Subject Pavapuri E249630 entity
Predicate locatedIn P40 FINISHED
Object Nalanda district E655847 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: Nalanda district | Statement: [Pavapuri, locatedIn, Nalanda district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nalanda district
Context triple: [Pavapuri, locatedIn, Nalanda district]
  • A. Nalanda district chosen
    Nalanda district is an administrative region in the Indian state of Bihar, renowned for encompassing the ancient Buddhist learning center of Nalanda University.
  • B. Patna district
    Patna district is an administrative district in the state of Bihar, India, encompassing the state capital city of Patna and its surrounding areas.
  • C. Kaushambi district
    Kaushambi district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance as an ancient Buddhist and trade center.
  • D. Vaishali district
    Vaishali district is an administrative district in the Indian state of Bihar, historically significant as part of the ancient republic of Vaishali and known for its cultural and archaeological heritage.
  • E. Hardoi district
    Hardoi district is an administrative district in the Indian state of Uttar Pradesh, known for its predominantly agricultural landscape and location in the central part of the state.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5275628988190bd00dd3f8d7c3937 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b65313481909328bd9f7f39bf53 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:38 p.m.