Triple

T4656533
Position Surface form Disambiguated ID Type / Status
Subject Chiloé Archipelago E102421 entity
Predicate mythologicalFigure P9595 FINISHED
Object Trauco E450189 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: Trauco | Statement: [Chiloé Archipelago, mythologicalFigure, Trauco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trauco
Context triple: [Chiloé Archipelago, mythologicalFigure, Trauco]
  • A. Trauco chosen
    Trauco is a fearsome dwarf-like creature from Chilote mythology, known for its irresistible sexual power and for being blamed for unexpected pregnancies.
  • B. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • C. Morena
    Morena is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center in the Chambal region.
  • D. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • E. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63193a108190a7d9aec1d1d40cf8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf28c148190b46cf846528034c5 completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:14 p.m.