Triple

T19269820
Position Surface form Disambiguated ID Type / Status
Subject Capiznon people E481891 entity
Predicate ethnonym P4709 FINISHED
Object Capizeno 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: Capizeno | Statement: [Capiznon people, ethnonym, Capizeno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capizeno
Context triple: [Capiznon people, ethnonym, Capizeno]
  • A. Capiznon chosen
    Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
  • B. Capussa
    Capussa was an ancient North African king who ruled the Massylii, a Numidian Berber people in what is now Algeria and Tunisia.
  • C. Mazzorbo
    Mazzorbo is a quiet island in the northern Venetian Lagoon known for its vineyards, colorful houses, and connection by bridge to the more famous island of Burano.
  • D. Gorzano
    Gorzano is a small hamlet (frazione) of the town of Maranello in the Emilia-Romagna region of northern Italy.
  • E. Caprauna
    Caprauna is a small mountain municipality in the Piedmont region of northwestern Italy, known for its alpine landscapes and rural character.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb74ec48190a58d96b4b5b9af00 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.