Triple

T23087673
Position Surface form Disambiguated ID Type / Status
Subject Shahdol railway station E575655 entity
Predicate locatedIn P40 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: [Shahdol railway station, locatedIn, Shahdol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahdol
Context triple: [Shahdol railway station, locatedIn, 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da7c54c81908b62d04ab1811b06 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.