Triple

T4787477
Position Surface form Disambiguated ID Type / Status
Subject Sinapalo E106516 entity
Predicate locatedIn P40 FINISHED
Object Rota E19624 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: Rota | Statement: [Sinapalo, locatedIn, Rota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rota
Context triple: [Sinapalo, locatedIn, Rota]
  • A. Rota chosen
    Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
  • B. Rota
    Rota is a Polish patriotic song and poem by Maria Konopnicka, historically significant as a symbol of resistance against Germanization and once considered a candidate for Poland’s national anthem.
  • C. Rota
    Rota is an Italian surname most famously associated with composer Nino Rota, known for his film scores including those for Federico Fellini and The Godfather.
  • D. Rueda
    Rueda is a Spanish town in the autonomous community of Castile and León, best known for giving its name to the renowned Rueda white wine appellation.
  • E. Carril
    Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65da229c81909c703393f7b9b71d completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f9ee7e481909e1ff78764d0b67d completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:22 p.m.