Triple

T2871639
Position Surface form Disambiguated ID Type / Status
Subject Osun State E63575 entity
Predicate hasMajorCity P316 FINISHED
Object Ikire
Ikire is a prominent town in southwestern Nigeria known for its location along major transport routes and its distinctive local delicacies, particularly “dodo Ikire.”
 E305702 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: Ikire | Statement: [Osun State, hasMajorCity, Ikire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ikire
Context triple: [Osun State, hasMajorCity, Ikire]
  • A. Kigensetsu
    Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
  • B. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • 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: Ikire
Triple: [Osun State, hasMajorCity, Ikire]
Generated description
Ikire is a prominent town in southwestern Nigeria known for its location along major transport routes and its distinctive local delicacies, particularly “dodo Ikire.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ikire
Target entity description: Ikire is a prominent town in southwestern Nigeria known for its location along major transport routes and its distinctive local delicacies, particularly “dodo Ikire.”
  • A. Kigensetsu
    Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
  • B. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfe46a1c819084399a191f0dfe9c completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db01d348190945ab982ce5c5b2d completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b0201470cc81909188573c3749dffb completed March 10, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69b020aa00888190a683a621f1e1a107 completed March 10, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:02 p.m.