Triple

T14209560
Position Surface form Disambiguated ID Type / Status
Subject King Béhanzin E352190 entity
Predicate capitalOfHisKingdom P59230 FINISHED
Object Abomey E178859 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: Abomey | Statement: [King Béhanzin, capitalOfHisKingdom, Abomey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abomey
Context triple: [King Béhanzin, capitalOfHisKingdom, Abomey]
  • A. Abomey chosen
    Abomey is a historic city in southern Benin that served as the capital of the powerful Kingdom of Dahomey and is renowned for its royal palaces and cultural heritage.
  • B. Biassou
    Biassou was a prominent early leader of the Haitian Revolution, known for his role in organizing and directing the initial slave uprisings against French colonial rule.
  • C. Ouidah
    Ouidah is a coastal city in Benin historically known as a major center of the transatlantic slave trade and for its rich Vodun (Voodoo) cultural heritage.
  • D. Saint-Benin
    Saint-Benin is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • E. Lomé
    Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54fe6b048190a16695af6e269e86 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:05 a.m.