Triple

T13098459
Position Surface form Disambiguated ID Type / Status
Subject Yakurr E310652 entity
Predicate hasSettlement P1068 FINISHED
Object Ekori
Ekori is a town in the Yakurr Local Government Area of Cross River State in southeastern Nigeria.
 E1019813 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: Ekori | Statement: [Yakurr, hasSettlement, Ekori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ekori
Context triple: [Yakurr, hasSettlement, Ekori]
  • A. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • B. Ogori
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • C. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • D. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • E. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • 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: Ekori
Triple: [Yakurr, hasSettlement, Ekori]
Generated description
Ekori is a town in the Yakurr Local Government Area of Cross River State in southeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ekori
Target entity description: Ekori is a town in the Yakurr Local Government Area of Cross River State in southeastern Nigeria.
  • A. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • B. Ogori
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • C. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • D. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • E. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d619b82c819093d0d98db88eb9ae completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d7da15b08190ba181bbb1a386acb completed May 3, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8cdf48081909b6088e7d72fc3c5 completed May 3, 2026, 5:10 a.m.
Created at: April 9, 2026, 9:04 p.m.