Triple

T6967700
Position Surface form Disambiguated ID Type / Status
Subject Central Zone of Indo-Aryan languages E161529 entity
Predicate hasMember P10 FINISHED
Object Kanauji E291133 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: Kanauji | Statement: [Central Zone of Indo-Aryan languages, hasMember, Kanauji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanauji
Context triple: [Central Zone of Indo-Aryan languages, hasMember, Kanauji]
  • A. Kannauj chosen
    Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
  • B. Bhind
    Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
  • C. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • D. Harda
    Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
  • E. Sonipat
    Sonipat is a rapidly developing city in the northern Indian state of Haryana that forms part of the extended urban and economic area around Delhi.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1373d88190967b42630f8688d6 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a04a77c8190959056a68a349f6e completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:30 p.m.