Triple

T22340986
Position Surface form Disambiguated ID Type / Status
Subject Buxar railway station E552272 entity
Predicate serves P98 FINISHED
Object Buxar city 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: Buxar city | Statement: [Buxar railway station, serves, Buxar city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buxar city
Context triple: [Buxar railway station, serves, Buxar city]
  • A. Buxar chosen
    Buxar is a historic town in the Indian state of Bihar, best known as the site of a pivotal 1764 battle that cemented British colonial dominance in northern India.
  • B. Sahebganj
    Sahebganj is a town and district headquarters in the eastern Indian state of Jharkhand, known for its location along the Ganges River and its role as an administrative and commercial center in the region.
  • C. Adityapur
    Adityapur is a major industrial township in Jharkhand, India, known for its large concentration of manufacturing and engineering units.
  • D. Lakhnauti
    Lakhnauti is the medieval name of the historic city of Gaur, a major political and cultural center of the Bengal Sultanate in eastern India.
  • E. Bikapur
    Bikapur is a town and administrative subdivision in the Ayodhya district of Uttar Pradesh, India, known for its proximity to the historic city of Ayodhya.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15783637c8190b77885f4e23d7ee5 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.