Triple

T11827836
Position Surface form Disambiguated ID Type / Status
Subject Rio Muni E281302 entity
Predicate includesProvince P11085 FINISHED
Object Litoral Province E441916 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: Litoral Province | Statement: [Rio Muni, includesProvince, Litoral Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litoral Province
Context triple: [Rio Muni, includesProvince, Litoral Province]
  • A. Litoral Province chosen
    Litoral Province is a coastal province of Equatorial Guinea that includes key mainland and island areas along the Gulf of Guinea.
  • B. Arturo Prat Province
    Arturo Prat Province is an administrative division in Chile named in honor of the national naval hero Arturo Prat Chacón.
  • C. Provincia Oriental
    Provincia Oriental was the historical name for the eastern province of the Río de la Plata region, corresponding largely to present-day Uruguay during the early 19th century.
  • D. Centro Sur Province
    Centro Sur Province is an administrative province in mainland Equatorial Guinea known for its inland location and role as a regional governmental center.
  • E. Santa Elena Province
    Santa Elena Province is a coastal province in western Ecuador known for its beaches, tourism, and location on the Santa Elena Peninsula along the Pacific Ocean.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6366adc8190b5c8163af684afde completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:43 p.m.