Triple

T17063095
Position Surface form Disambiguated ID Type / Status
Subject National People’s Assembly of Guinea-Bissau E414012 entity
Predicate meetsIn P40 FINISHED
Object Bissau E163653 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: Bissau | Statement: [National People’s Assembly of Guinea-Bissau, meetsIn, Bissau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bissau
Context triple: [National People’s Assembly of Guinea-Bissau, meetsIn, Bissau]
  • A. Bissau
    Bissau is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani culture.
  • B. Bissau chosen
    Bissau is the largest city and principal port of Guinea-Bissau, serving as its political, economic, and cultural center.
  • C. Conakry
    Conakry is the capital and largest city of Guinea, serving as its main economic, cultural, and administrative center on the Atlantic coast of West Africa.
  • D. Navrongo
    Navrongo is a town in northern Ghana known as a key administrative and commercial center near the border with Burkina Faso.
  • E. Korhogo
    Korhogo is a major city in northern Côte d'Ivoire that serves as an important cultural and economic center for the Senufo people.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7eb0808190ae1b0044e2b5cbd7 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234be4e4819084701902e7bd3a27 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.