Triple

T18926968
Position Surface form Disambiguated ID Type / Status
Subject Port of Bonifacio E462999 entity
Predicate locatedIn P40 FINISHED
Object Bonifacio NE NERFINISHED

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: Bonifacio | Statement: [Port of Bonifacio, locatedIn, Bonifacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonifacio
Context triple: [Port of Bonifacio, locatedIn, Bonifacio]
  • A. Bonifacio chosen
    Bonifacio is a historic fortified town perched on dramatic limestone cliffs at the southern tip of Corsica, overlooking the Strait of Bonifacio between the island and Sardinia.
  • B. Diosdado
    Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
  • C. Niceto
    Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
  • D. Alfonso Oiterong
    Alfonso Oiterong was a Palauan politician who briefly served as the country's president during its early years of independence.
  • E. Ramiro
    Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.