Triple

T3740568
Position Surface form Disambiguated ID Type / Status
Subject La Frutera E79687 entity
Predicate alsoKnownAs P39 FINISHED
Object La Frutera E79687 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: La Frutera | Statement: [La Frutera, alsoKnownAs, La Frutera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Frutera
Context triple: [La Frutera, alsoKnownAs, La Frutera]
  • A. La Frutera chosen
    La Frutera is a historical nickname for the United Fruit Company, the powerful U.S.-based banana and agricultural conglomerate that dominated much of Central American trade and politics in the 20th century.
  • B. La Pera
    La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
  • C. Naranjito
    Naranjito is the smiling orange cartoon character that served as the official mascot of the 1982 FIFA World Cup held in Spain.
  • D. Naranjito
    Naranjito is a municipality located in the central region of Puerto Rico, known for its mountainous terrain and agricultural traditions.
  • E. La Panza
    La Panza is one of the principal summits of the Iztaccíhuatl volcano in central Mexico, known for its distinctive “belly” shape along the mountain’s profile.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.