Triple

T1548141
Position Surface form Disambiguated ID Type / Status
Subject Bihar and Orissa Province E33025 entity
Predicate capital P234 FINISHED
Object Patna E78060 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: Patna | Statement: [Bihar and Orissa Province, capital, Patna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patna
Context triple: [Bihar and Orissa Province, capital, Patna]
  • A. Patna chosen
    Patna is the capital city of the Indian state of Bihar, situated along the Ganges River and known as one of the oldest continuously inhabited cities in the world.
  • B. Kanpur
    Kanpur is a major industrial city in the northern Indian state of Uttar Pradesh, historically significant as a key site of conflict during the Indian Rebellion of 1857.
  • C. Lucknow
    Lucknow is the capital city of the Indian state of Uttar Pradesh, renowned for its rich cultural heritage, refined Urdu literature, Awadhi cuisine, and elegant Mughal and colonial-era architecture.
  • D. Ranchi
    Ranchi is the capital city of the Indian state of Jharkhand, known for its hilly terrain, waterfalls, and role as a regional political and commercial center.
  • E. Bhagalpur
    Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b2c2788190a22c3b45dedb1484 completed March 8, 2026, 10:09 p.m.
Created at: March 4, 2026, 7:26 p.m.