Triple

T11858235
Position Surface form Disambiguated ID Type / Status
Subject Ekeremor E282093 entity
Predicate hasSettlement P1068 FINISHED
Object Isampou
Isampou is a community located within Ekeremor Local Government Area in Bayelsa State, southern Nigeria.
E951703 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: Isampou | Statement: [Ekeremor, hasSettlement, Isampou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isampou
Context triple: [Ekeremor, hasSettlement, Isampou]
  • A. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • B. Samouco
    Samouco is a small village in Portugal’s Setúbal District, known for its traditional character and proximity to the Tagus River and Lisbon.
  • C. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • D. Wagadou
    Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
  • E. Mengistu
    Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
  • 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: Isampou
Triple: [Ekeremor, hasSettlement, Isampou]
Generated description
Isampou is a community located within Ekeremor Local Government Area in Bayelsa State, southern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isampou
Target entity description: Isampou is a community located within Ekeremor Local Government Area in Bayelsa State, southern Nigeria.
  • A. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • B. Samouco
    Samouco is a small village in Portugal’s Setúbal District, known for its traditional character and proximity to the Tagus River and Lisbon.
  • C. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • D. Wagadou
    Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
  • E. Mengistu
    Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28d363cac8190b961f17245db493c completed April 29, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69f29150bf508190bdf037d40e445e6d completed April 29, 2026, 11:16 p.m.
Created at: April 8, 2026, 9:43 p.m.