Triple

T11858322
Position Surface form Disambiguated ID Type / Status
Subject Ogbia E282095 entity
Predicate hasSettlement P1068 FINISHED
Object Otuasega
Otuasega is a town located in Ogbia Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
 E951715 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: Otuasega | Statement: [Ogbia, hasSettlement, Otuasega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Otuasega
Context triple: [Ogbia, hasSettlement, Otuasega]
  • A. Anaguta
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • B. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • C. Otuyo
    Otuyo is a small locality in present-day Bolivia, historically noted as the birthplace of independence leader Cornelio Saavedra.
  • D. Ōtoku
    Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
  • E. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • 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: Otuasega
Triple: [Ogbia, hasSettlement, Otuasega]
Generated description
Otuasega is a town located in Ogbia Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Otuasega
Target entity description: Otuasega is a town located in Ogbia Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
  • A. Anaguta
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • B. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • C. Otuyo
    Otuyo is a small locality in present-day Bolivia, historically noted as the birthplace of independence leader Cornelio Saavedra.
  • D. Ōtoku
    Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
  • E. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • 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.