Triple

T19669887
Position Surface form Disambiguated ID Type / Status
Subject Madhya Pradesh–Maharashtra border E472304 entity
Predicate nearbyMajorCity P1982 FINISHED
Object Betul 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: Betul | Statement: [Madhya Pradesh–Maharashtra border, nearbyMajorCity, Betul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betul
Context triple: [Madhya Pradesh–Maharashtra border, nearbyMajorCity, Betul]
  • A. Betul chosen
    Betul is a town and administrative center in central India, known for its location in the Satpura plateau region of Madhya Pradesh.
  • B. Burlata
    Burlata is a small municipality in the autonomous community of Navarre in northern Spain, situated just east of the regional capital Pamplona.
  • C. Bettega
    Bettega is an Italian surname most notably associated with former Juventus and Italy footballer Roberto Bettega.
  • D. Beuret
    Beuret is a French surname most notably associated with Rose Beuret, the longtime companion and later wife of sculptor Auguste Rodin.
  • E. Borotiam
    Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416ad1b481908d2890d8c21aac5c completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.