Triple

T12039959
Position Surface form Disambiguated ID Type / Status
Subject Idoma language E286633 entity
Predicate hasDialect P4251 FINISHED
Object Orokam
Orokam is a dialect of the Idoma language spoken by a subgroup of the Idoma people in central Nigeria.
E961853 NE FINISHED

How this triple was built (4 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 language, hasDialect, Orokam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orokam
Context triple: [Idoma language, hasDialect, Orokam]
  • A. Okitipupa
    Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
  • B. 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.
  • C. 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.
  • D. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • E. Yámana
    The Yámana are an Indigenous people of the southernmost regions of South America, traditionally known as seafaring hunter-gatherers of the Tierra del Fuego archipelago.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orokam
Triple: [Idoma language, hasDialect, Orokam]
Generated description
Orokam is a dialect of the Idoma language spoken by a subgroup of the Idoma people in central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orokam
Target entity description: Orokam is a dialect of the Idoma language spoken by a subgroup of the Idoma people in central Nigeria.
  • A. Okitipupa
    Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
  • B. 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.
  • C. 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.
  • D. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • E. Yámana
    The Yámana are an Indigenous people of the southernmost regions of South America, traditionally known as seafaring hunter-gatherers of the Tierra del Fuego archipelago.
  • F. None of above. chosen

Provenance (5 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.