Triple

T2539076
Position Surface form Disambiguated ID Type / Status
Subject Malabo E56338 entity
Predicate formerName P65 FINISHED
Object Santa Isabel E90817 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: Santa Isabel | Statement: [Malabo, formerName, Santa Isabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Isabel
Context triple: [Malabo, formerName, Santa Isabel]
  • A. Santa Isabel chosen
    Santa Isabel was the colonial capital city of Spanish Equatorial Guinea, serving as the administrative and political center during Spanish rule.
  • B. Santa Teresa
    Santa Teresa is a historic, bohemian hilltop neighborhood in Rio de Janeiro known for its winding streets, colonial mansions, and vibrant arts scene.
  • C. Santa Bárbara
    Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
  • D. Santa Rita
    Santa Rita is a municipality in the Brazilian state of Paraíba, known for its proximity to the state capital João Pessoa and its role in the region’s industrial and economic activities.
  • E. Santa Rosa de Lima
    Santa Rosa de Lima is a 17th-century Peruvian mystic and member of the Dominican Order venerated as the first canonized saint of the Americas and the patron saint of Peru and Latin America.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cfc54cc8190bb43b54f873ffa63 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.