Triple

T12222925
Position Surface form Disambiguated ID Type / Status
Subject Bata Airport E291265 entity
Predicate servesRegion P82 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: [Bata Airport, servesRegion, Litoral Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litoral Province
Context triple: [Bata Airport, servesRegion, 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.