Triple

T14616048
Position Surface form Disambiguated ID Type / Status
Subject Bengo Province E343087 entity
Predicate bordersProvince P224 FINISHED
Object Luanda Province E337756 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: Luanda Province | Statement: [Bengo Province, bordersProvince, Luanda Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luanda Province
Context triple: [Bengo Province, bordersProvince, Luanda Province]
  • A. Luanda Province chosen
    Luanda Province is a coastal region of Angola that includes the nation’s capital city, Luanda, and serves as a major political, economic, and cultural center.
  • B. Kinshasa Province
    Kinshasa Province is the administrative region encompassing the city of Kinshasa, the capital and largest urban center of the Democratic Republic of the Congo.
  • C. Moyen-Ogooué Province
    Moyen-Ogooué Province is an inland region of west-central Gabon known for its location along the Ogooué River and its capital, Lambaréné.
  • D. Haut-Ogooué Province
    Haut-Ogooué Province is a resource-rich administrative region in southeastern Gabon known for its mining industry and diverse ethnic communities.
  • E. Ogooué-Maritime Province
    Ogooué-Maritime Province is a coastal region in western Gabon known for its Atlantic shoreline, rich biodiversity, and inclusion of protected areas such as Loango National Park.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.