Triple

T5377919
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Prefecture E113007 entity
Predicate hasCity P316 FINISHED
Object Nakama
Nakama is a city located in Japan’s Fukuoka Prefecture on the island of Kyushu.
 E515175 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: Nakama | Statement: [Fukuoka Prefecture, hasCity, Nakama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakama
Context triple: [Fukuoka Prefecture, hasCity, Nakama]
  • A. Temanoku
    Temanoku is a small settlement located on Nonouti Atoll in the Republic of Kiribati in the central Pacific Ocean.
  • B. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • C. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • D. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • E. Amagi
    Amagi was an Imperial Japanese Navy aircraft carrier planned as part of Japan’s early carrier force before being cancelled due to damage from the 1923 Great Kantō earthquake.
  • 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: Nakama
Triple: [Fukuoka Prefecture, hasCity, Nakama]
Generated description
Nakama is a city located in Japan’s Fukuoka Prefecture on the island of Kyushu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakama
Target entity description: Nakama is a city located in Japan’s Fukuoka Prefecture on the island of Kyushu.
  • A. Temanoku
    Temanoku is a small settlement located on Nonouti Atoll in the Republic of Kiribati in the central Pacific Ocean.
  • B. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • C. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • D. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • E. Amagi
    Amagi was an Imperial Japanese Navy aircraft carrier planned as part of Japan’s early carrier force before being cancelled due to damage from the 1923 Great Kantō earthquake.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29465ff0819082c05dbe40a306f3 completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf29e0c9708190ac76c8306b76f0fa completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a93efa88190b641924bb652068c completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:03 p.m.