Triple

T19267196
Position Surface form Disambiguated ID Type / Status
Subject Los Lagos Region E481815 entity
Predicate containsCity P294 FINISHED
Object Ancud 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: Ancud | Statement: [Los Lagos Region, containsCity, Ancud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ancud
Context triple: [Los Lagos Region, containsCity, Ancud]
  • A. Ancud chosen
    Ancud is a coastal city on northern Chiloé Island in southern Chile, known historically as a Spanish stronghold and for its maritime heritage and nearby natural landscapes.
  • B. Ossorio
    Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
  • C. Guarambaré
    Guarambaré is a town and district in Paraguay known for its colonial heritage and location within the country’s Central Department near the capital, Asunción.
  • D. Berisso
    Berisso is an industrial and port city in Buenos Aires Province, Argentina, known for its immigrant heritage and role within the Greater La Plata metropolitan area.
  • E. Necochea
    Necochea is a coastal city and popular beach resort in southeastern Buenos Aires Province, Argentina, known for its wide sandy beaches and tourism.
  • 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_69e5fb8e1f888190a95f60fa29ca3b98 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.