Triple

T14289639
Position Surface form Disambiguated ID Type / Status
Subject Jolof Kingdoms E354273 entity
Predicate hasPart P35 FINISHED
Object Walo E350752 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: Walo | Statement: [Jolof Kingdoms, hasPart, Walo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walo
Context triple: [Jolof Kingdoms, hasPart, Walo]
  • A. Walo chosen
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • B. Walo
    Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
  • C. Wala
    The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
  • D. Wala
    Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
  • E. Wolamo
    Wolamo is an alternative name for the Wolaytta people, an ethnic group primarily living in southern Ethiopia with their own distinct language and culture.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46812ed48190b879afe9a93784e8 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.