Triple

T5844928
Position Surface form Disambiguated ID Type / Status
Subject Baghelkhand E129684 entity
Predicate containsCity P294 FINISHED
Object Shahdol E138889 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: Shahdol | Statement: [Baghelkhand, containsCity, Shahdol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahdol
Context triple: [Baghelkhand, containsCity, 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. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • 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. Tikamgarh
    Tikamgarh is a town and administrative center in central India, known for its historical forts and temples in 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034dcafe88190a438034a539ffa52 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0fb0f68819091018926ee4c7bb8 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.