Triple

T5038836
Position Surface form Disambiguated ID Type / Status
Subject Águilas Cibaeñas E113495 entity
Predicate nickname P55 FINISHED
Object Las Águilas E487830 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: Las Águilas | Statement: [Águilas Cibaeñas, nickname, Las Águilas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Águilas
Context triple: [Águilas Cibaeñas, nickname, Las Águilas]
  • A. Águilas chosen
    Águilas is a professional baseball team from the Dominican Republic, widely recognized as one of the most successful and popular clubs in Caribbean winter league baseball.
  • B. Águilas del América
    Águilas del América is the popular nickname of Club América, one of Mexico’s most successful and widely supported professional football teams based in Mexico City.
  • C. Leones de Industriales
    Leones de Industriales is the popular nickname of Industriales, one of Cuba’s most successful and widely supported baseball teams.
  • D. Indios Verdes
    Indios Verdes is a major transit hub and metro station in northern Mexico City that serves as a key gateway between the city and its northern suburbs.
  • E. Acereros
    Acereros is the nickname of Chilean football club Club Deportivo Huachipato, traditionally associated with the steel industry in the city of Talcahuano.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73dbf00c819094b67809dafdecc6 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea479f01c8190a84ff4973845eb17 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.