Triple

T13539678
Position Surface form Disambiguated ID Type / Status
Subject Idoma E323350 entity
Predicate subgroup P10 FINISHED
Object Orokam E961853 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: Orokam | Statement: [Idoma, subgroup, Orokam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orokam
Context triple: [Idoma, subgroup, Orokam]
  • A. Orokam chosen
    Orokam is a dialect of the Idoma language spoken by a subgroup of the Idoma people in central Nigeria.
  • B. Okitipupa
    Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
  • C. Oroqen
    The Oroqen are a small Tungusic-speaking indigenous people of northeastern China, traditionally known as hunters and reindeer herders living in the forests of the Greater and Lesser Khingan Mountains.
  • D. Kaska
    Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
  • E. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd7ad9481908fe1d7ffcf8fab71 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bae316081909e048ead31a9575a completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:45 p.m.