Triple

T13494430
Position Surface form Disambiguated ID Type / Status
Subject Naha urban area E320722 entity
Predicate hasPart P35 FINISHED
Object Nishihara
Nishihara is a town in Okinawa Prefecture, Japan, that forms part of the greater Naha metropolitan area.
 E1290269 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: Nishihara | Statement: [Naha urban area, hasPart, Nishihara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nishihara
Context triple: [Naha urban area, hasPart, Nishihara]
  • A. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Takahira
    Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
  • E. Yukuhashi
    Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
  • 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: Nishihara
Triple: [Naha urban area, hasPart, Nishihara]
Generated description
Nishihara is a town in Okinawa Prefecture, Japan, that forms part of the greater Naha metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nishihara
Target entity description: Nishihara is a town in Okinawa Prefecture, Japan, that forms part of the greater Naha metropolitan area.
  • A. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Takahira
    Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
  • E. Yukuhashi
    Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0306dc4d1481908bce52d757effc59 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a03075d0df4819093e20f299f0824a8 completed May 12, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0307c1a95881909547178762490619 completed May 12, 2026, 10:58 a.m.
Created at: April 9, 2026, 9:43 p.m.