Triple

T6320191
Position Surface form Disambiguated ID Type / Status
Subject Alirajpur district E141717 entity
Predicate hasHeadquarters P62 FINISHED
Object Alirajpur E148030 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: Alirajpur | Statement: [Alirajpur district, hasHeadquarters, Alirajpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alirajpur
Context triple: [Alirajpur district, hasHeadquarters, Alirajpur]
  • A. Alirajpur chosen
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • B. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • C. Hoshangabad
    Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
  • D. Narsinghpur
    Narsinghpur is a city and administrative center in central India known for its agricultural economy, particularly sugarcane and pulses, within the state of Madhya Pradesh.
  • E. Chhindwara
    Chhindwara is a prominent city in central India known for its agricultural produce, tribal culture, and growing industrial and educational hubs within Madhya Pradesh.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c4ed7c8190bd066dc7cd3d1329 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040b1e0481908095decce40107b4 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:29 p.m.