Triple

T14701837
Position Surface form Disambiguated ID Type / Status
Subject Nangere E345321 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Ngizim E222773 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: Ngizim | Statement: [Nangere, hasEthnicGroup, Ngizim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngizim
Context triple: [Nangere, hasEthnicGroup, Ngizim]
  • A. Ngizim chosen
    Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
  • B. Gwembe
    Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
  • C. Omaruru
    Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
  • D. Moingwena
    The Moingwena were a Native American group historically associated with the Illinois (Illiniwek) confederation in the central Mississippi River region.
  • E. Ngazun
    Ngazun is a town located in central Myanmar’s Mandalay Region.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb605f5948190ab6b20887c4b6833 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64ec72bc819085fa2c21487f297e completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:28 a.m.