Triple

T14724877
Position Surface form Disambiguated ID Type / Status
Subject Rwanda-Rundi E345912 entity
Predicate hasPart P35 FINISHED
Object Hangaza E725056 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: Hangaza | Statement: [Rwanda-Rundi, hasPart, Hangaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangaza
Context triple: [Rwanda-Rundi, hasPart, Hangaza]
  • A. Hangaza chosen
    The Hangaza are an ethnic group native to northwestern Tanzania, primarily inhabiting the Kagera Region near the border with Rwanda and Uganda.
  • B. Hangrai
    Hangrai is a traditional festival celebrated by the Tripuri people, marked by communal rituals, cultural performances, and social gatherings.
  • C. Hamul
    Hamul is a minor biblical figure listed in the Book of Genesis as one of the descendants of Judah and a member of the early Israelite family lineage.
  • D. Damel
    Damel was the royal title borne by the kings of the precolonial Wolof kingdom of Cayor in what is now Senegal.
  • E. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.