Triple

T14797809
Position Surface form Disambiguated ID Type / Status
Subject King Agaja E347824 entity
Predicate father P120 FINISHED
Object Houegbadja E663928 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: Houegbadja | Statement: [King Agaja, father, Houegbadja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houegbadja
Context triple: [King Agaja, father, Houegbadja]
  • A. Houegbadja chosen
    Houegbadja was an early king of the Kingdom of Dahomey in present-day Benin, credited with consolidating the state’s power and laying the foundations for its royal institutions.
  • B. Tougué
    Tougué is a town and administrative center in northern Guinea, located in the Middle Guinea region.
  • C. King Ghezo
    King Ghezo was a 19th-century ruler of the West African Kingdom of Dahomey known for military expansion, administrative reforms, and his complex role in the Atlantic slave trade.
  • D. Chuku Modu
    Chuku Modu is a British actor best known for his roles in television series such as "The Good Doctor" and "Game of Thrones."
  • E. Burnaburiash II
    Burnaburiash II was a prominent Kassite king of Babylon in the 14th century BCE, known for his extensive diplomatic correspondence with other major Near Eastern powers such as Egypt.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389183a881908e6af44b71f81ace completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.