Triple

T11232097
Position Surface form Disambiguated ID Type / Status
Subject FIFA World Cup mascots series E265846 entity
Predicate hasMascot P52 FINISHED
Object Naranjito E284804 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: Naranjito | Statement: [FIFA World Cup mascots series, hasMascot, Naranjito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naranjito
Context triple: [FIFA World Cup mascots series, hasMascot, Naranjito]
  • A. Naranjito
    Naranjito is a municipality located in the central region of Puerto Rico, known for its mountainous terrain and agricultural traditions.
  • B. Naranjito chosen
    Naranjito is the smiling orange cartoon character that served as the official mascot of the 1982 FIFA World Cup held in Spain.
  • C. Naranjas
    Naranjas is a Cuban baseball team nickname associated with the Villa Clara Naranjas of the Cuban National Series.
  • D. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • E. El Arreglito
    El Arreglito is a song by Spanish composer Sebastián Iradier whose melody later became famous worldwide as the basis for the "Habanera" aria in Bizet’s opera Carmen.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad49b5cc8190b99cb2cd8de72109 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.