Triple

T2887234
Position Surface form Disambiguated ID Type / Status
Subject Cross River State E59533 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Yakurr
Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
 E310652 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: Yakurr | Statement: [Cross River State, hasLocalGovernmentArea, Yakurr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yakurr
Context triple: [Cross River State, hasLocalGovernmentArea, Yakurr]
  • A. Odogbolu
    Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
  • B. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • C. Sagbama
    Sagbama is a town and local government area in Bayelsa State in Nigeria’s Niger Delta region, known for its riverine communities and oil-rich environment.
  • D. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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: Yakurr
Triple: [Cross River State, hasLocalGovernmentArea, Yakurr]
Generated description
Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yakurr
Target entity description: Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
  • A. Odogbolu
    Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
  • B. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • C. Sagbama
    Sagbama is a town and local government area in Bayelsa State in Nigeria’s Niger Delta region, known for its riverine communities and oil-rich environment.
  • D. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f2d72c8190b81b2b0b3093ae57 completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b0642692f0819089b65a84b3596627 completed March 10, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69b064788ac88190a42f52ac8ace85fd completed March 10, 2026, 6:35 p.m.
Created at: March 6, 2026, 10:03 p.m.