Triple

T11574376
Position Surface form Disambiguated ID Type / Status
Subject Central Region, Ghana E274465 entity
Predicate contains P35 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: [Central Region, Ghana, contains, Mankessim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mankessim
Context triple: [Central Region, Ghana, contains, 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. Minkus
    Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
  • C. Mansaka
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • D. Menmaatre
    Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
  • E. Masinissa
    Masinissa was the first king of a unified Numidia, a powerful North African ally of Rome whose cavalry played a decisive role in defeating Carthage during the Second Punic War.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.