Triple

T13294356
Position Surface form Disambiguated ID Type / Status
Subject Nawada E316641 entity
Predicate district P2709 FINISHED
Object Nawada district E661701 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: Nawada district | Statement: [Nawada, district, Nawada district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nawada district
Context triple: [Nawada, district, Nawada district]
  • A. Nawada district chosen
    Nawada district is an administrative district in the Indian state of Bihar, known for its location in the historically significant Magadh region.
  • B. Sennan District
    Sennan District is an administrative district in Osaka Prefecture, Japan, comprising several small municipalities in the southern part of the prefecture.
  • C. Guzara District
    Guzara District is an administrative district in western Afghanistan, located within Herat Province and known for its agricultural communities and proximity to the provincial capital, Herat city.
  • D. Papakura District
    Papakura District was a former local government area in southern Auckland, New Zealand, encompassing suburban and rural communities before being incorporated into the Auckland Council.
  • E. Kaifu District
    Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d360c60819086a8168bdc092e1c completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:28 p.m.