Triple

T22277534
Position Surface form Disambiguated ID Type / Status
Subject Eastern Madhya Pradesh E550645 entity
Predicate hasMajorCity P316 FINISHED
Object Shahdol NE NERFINISHED

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: Shahdol | Statement: [Eastern Madhya Pradesh, hasMajorCity, Shahdol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahdol
Context triple: [Eastern Madhya Pradesh, hasMajorCity, Shahdol]
  • A. Shahdol chosen
    Shahdol is a city in the eastern part of Madhya Pradesh, India, known as an administrative and commercial center for the surrounding coal- and forest-rich region.
  • B. Mahardah
    Mahardah is a city in northwestern Syria known for its predominantly Christian population and its location near the Orontes River.
  • C. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • D. 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.
  • E. Shahdol district
    Shahdol district is an administrative district in the Indian state of Madhya Pradesh, known for its coal reserves and forested, tribal-populated areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea8a6688190bcd168670420ec59 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.