Triple

T12225895
Position Surface form Disambiguated ID Type / Status
Subject Ekpeye E291350 entity
Predicate neighboringEthnicGroup P11274 FINISHED
Object Engenni
Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
 E972788 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: Engenni | Statement: [Ekpeye, neighboringEthnicGroup, Engenni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engenni
Context triple: [Ekpeye, neighboringEthnicGroup, Engenni]
  • A. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • B. Engen era
    The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
  • C. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • D. Entemena
    Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
  • E. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • 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: Engenni
Triple: [Ekpeye, neighboringEthnicGroup, Engenni]
Generated description
Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engenni
Target entity description: Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
  • A. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • B. Engen era
    The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
  • C. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • D. Entemena
    Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
  • E. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f61a13fd1481908a06ca65b276e0e1 completed May 2, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69f61ad2bd0c8190ada37bc1f8ae160f completed May 2, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:51 p.m.