Triple

T6927745
Position Surface form Disambiguated ID Type / Status
Subject Kosi Barrage E160353 entity
Predicate nearbyCity P350 FINISHED
Object Supaul E264563 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: Supaul | Statement: [Kosi Barrage, nearbyCity, Supaul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supaul
Context triple: [Kosi Barrage, nearbyCity, Supaul]
  • A. Supaul chosen
    Supaul is a town in the Indian state of Bihar known primarily as an administrative and commercial center for the surrounding region.
  • B. Paris, Missouri
    Paris, Missouri is a small rural city that serves as the county seat of Monroe County in northeastern Missouri, United States.
  • C. St. Petersburg, Missouri
    St. Petersburg, Missouri is the fictional Mississippi River town in Mark Twain’s novels, notably "The Adventures of Tom Sawyer," serving as the home of characters like Sid Sawyer and Tom Sawyer.
  • D. Wellington, Missouri
    Wellington, Missouri is a small city situated along the Missouri River in Lafayette County, known for its rural character and historic Midwestern setting.
  • E. Neosho, Missouri
    Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1bf2088190a8ccfa01d9a1efc5 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514359148190b87b39efc8e714a8 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.