Triple

T10334356
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Canela E242961 entity
Predicate locatedIn P40 FINISHED
Object Canela E839425 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: Canela | Statement: [Municipality of Canela, locatedIn, Canela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canela
Context triple: [Municipality of Canela, locatedIn, Canela]
  • A. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • B. Canela chosen
    Canela is a popular mountain resort town in southern Brazil known for its cool climate, European-influenced architecture, and nearby natural attractions such as waterfalls and canyons.
  • C. Chinandega
    Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • D. de Sucre
    De Sucre is the surname of Antonio José de Sucre, a prominent Venezuelan independence leader and close ally of Simón Bolívar.
  • E. Cayenne
    Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc366b481909c49f199892e9d42 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75054515081908240f985f8b6e2df completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:53 a.m.