Triple

T13558614
Position Surface form Disambiguated ID Type / Status
Subject Akoko E323843 entity
Predicate hasMajorSettlement P316 FINISHED
Object Irun-Akoko
Irun-Akoko is a town in Ondo State, southwestern Nigeria, known as one of the principal communities in the Akoko region.
 E1047692 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: Irun-Akoko | Statement: [Akoko, hasMajorSettlement, Irun-Akoko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irun-Akoko
Context triple: [Akoko, hasMajorSettlement, Irun-Akoko]
  • A. Irun
    Irun is a Spanish border town in the Basque Country, strategically located near France and historically significant as a key crossing and diplomatic site between the two countries.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Iluka
    Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
  • D. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • E. Nalut
    Nalut is a town in western Libya situated in the Nafusa Mountains, known for its Amazigh (Berber) heritage and historic hilltop granaries.
  • 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: Irun-Akoko
Triple: [Akoko, hasMajorSettlement, Irun-Akoko]
Generated description
Irun-Akoko is a town in Ondo State, southwestern Nigeria, known as one of the principal communities in the Akoko region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irun-Akoko
Target entity description: Irun-Akoko is a town in Ondo State, southwestern Nigeria, known as one of the principal communities in the Akoko region.
  • A. Irun
    Irun is a Spanish border town in the Basque Country, strategically located near France and historically significant as a key crossing and diplomatic site between the two countries.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Iluka
    Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
  • D. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • E. Nalut
    Nalut is a town in western Libya situated in the Nafusa Mountains, known for its Amazigh (Berber) heritage and historic hilltop granaries.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff4223c8190801d153ae8f94c73 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dab4974819097880ad4d50f1b34 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761bd24ac8190b1fd8fdabc8ce252 completed May 3, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69f76226ac888190b0c6f0eabd337066 completed May 3, 2026, 2:56 p.m.
Created at: April 9, 2026, 9:47 p.m.