Triple

T23302890
Position Surface form Disambiguated ID Type / Status
Subject Nagarote E590350 entity
Predicate populationCenter P2106 FINISHED
Object Nagarote (town) 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: Nagarote (town) | Statement: [Nagarote, populationCenter, Nagarote (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagarote (town)
Context triple: [Nagarote, populationCenter, Nagarote (town)]
  • A. Nagarote (town) chosen
    Nagarote is a municipality and town in the León department of western Nicaragua, known for its agricultural economy and proximity to the Pacific coast.
  • B. municipality of Nagarote
    The municipality of Nagarote is a local administrative and population center in western Nicaragua known for its agricultural activities and proximity to the Pacific coast.
  • C. Nagari
    Nagari is a town in the Tirupati district of Andhra Pradesh, India, known for its proximity to the distinctive Nagari Hills and its role as a local commercial and administrative center.
  • D. Nagari
    Nagari is an ancient North Indian script that evolved into the modern Devanagari writing system used for languages like Hindi, Marathi, and Sanskrit.
  • E. Nagar
    Nagar is a town in India’s historic Braj region, an area closely associated with the life and legends of Lord Krishna.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972406a08190bbf355cc7a9f8432 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.