Triple

T14788726
Position Surface form Disambiguated ID Type / Status
Subject Fante Confederacy E347596 entity
Predicate capital P234 FINISHED
Object Mankessim E584728 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: Mankessim | Statement: [Fante Confederacy, capital, Mankessim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mankessim
Context triple: [Fante Confederacy, capital, Mankessim]
  • A. Mankessim chosen
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • B. Mankanya
    Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
  • C. Manke
    Manke is a mythological figure embodying divine retribution and the relentless pursuit of justice against wrongdoers.
  • D. Minkus
    Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
  • E. Mansaka
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bc8464819096b019f1e927d1a9 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.