Triple

T12932209
Position Surface form Disambiguated ID Type / Status
Subject Minna Municipal authorities E309411 entity
Predicate jurisdiction P82 FINISHED
Object Minna E63605 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: Minna | Statement: [Minna Municipal authorities, jurisdiction, Minna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minna
Context triple: [Minna Municipal authorities, jurisdiction, Minna]
  • A. Minna chosen
    Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • B. Minori
    Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
  • C. Mehinako
    Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
  • D. Minin
    Minin is a Russian surname most famously borne by Kuzma Minin, a merchant from Nizhny Novgorod who became a national hero for organizing resistance against Polish invaders in the early 17th century.
  • E. Harumi
    Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc53060819090a126f15428e411 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d58a0c8190b96252f04fdf1256 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:42 p.m.