Triple

T8426278
Position Surface form Disambiguated ID Type / Status
Subject El Guincho E199001 entity
Predicate notableWork P4 FINISHED
Object Alegranza! E206610 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: Alegranza! | Statement: [El Guincho, notableWork, Alegranza!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alegranza!
Context triple: [El Guincho, notableWork, Alegranza!]
  • A. Alegranza chosen
    Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
  • B. Alegría
    Alegría is one of Cirque du Soleil’s most iconic touring circus productions, renowned for its dramatic themes, acrobatic performances, and memorable music.
  • C. Alegria
    Alegria is a coastal municipality in the province of Cebu in the Philippines, known for its natural attractions and rural charm.
  • 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 Jaleo
    El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a2871081908a4093838fc93b5a completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0364f294819091ef9f39429f3fb5 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.