Triple

T7308006
Position Surface form Disambiguated ID Type / Status
Subject Shahjahanpur E168024 entity
Predicate locatedIn P40 FINISHED
Object Shahjahanpur district E220157 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: Shahjahanpur district | Statement: [Shahjahanpur, locatedIn, Shahjahanpur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahjahanpur district
Context triple: [Shahjahanpur, locatedIn, Shahjahanpur district]
  • A. Shahjahanpur district chosen
    Shahjahanpur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and historical significance in the Rohilkhand region.
  • B. Bulandshahr district
    Bulandshahr district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and agricultural economy.
  • C. Jalaun district
    Jalaun district is an administrative district in the state of Uttar Pradesh, India, located in the Bundelkhand region and known for its predominantly agrarian landscape.
  • D. Sheopur district
    Sheopur district is an administrative district in the northern Indian state of Madhya Pradesh, known for its forested terrain and proximity to the Chambal River.
  • E. Moradabad district
    Moradabad district is an administrative region in the Indian state of Uttar Pradesh, centered around the city of Moradabad and known for its brassware industry.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd95bd48190865716e7565f45e6 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa75d64c8190be20be58c81446e1 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:01 p.m.