Triple

T15485151
Position Surface form Disambiguated ID Type / Status
Subject Tanahun District E377025 entity
Predicate hasMajorTown P316 FINISHED
Object Damauli E680630 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: Damauli | Statement: [Tanahun District, hasMajorTown, Damauli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damauli
Context triple: [Tanahun District, hasMajorTown, Damauli]
  • A. Damauli chosen
    Damauli is a town in central Nepal that serves as the administrative headquarters of Tanahun District and a key junction along major transport routes.
  • B. Mangaldoi
    Mangaldoi is a town in the Indian state of Assam that serves as an important administrative and commercial center for the surrounding region.
  • C. Dhalai
    Dhalai is a district in the northeastern Indian state of Tripura, known for its hilly terrain, forested landscapes, and significant indigenous population.
  • D. Chuadanga
    Chuadanga is a town and district headquarters in western Bangladesh known for its agricultural economy and role as a regional transport and administrative center.
  • E. Daula
    Daula is a traditional double-headed drum central to Sri Lankan Kandyan dance and ritual music.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c345f888190be7a684f3bd86324 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:46 a.m.