Triple

T3556004
Position Surface form Disambiguated ID Type / Status
Subject Linz E75219 entity
Predicate twinnedWith P1072 FINISHED
Object Nagaoka
Nagaoka is a city in Niigata Prefecture, Japan, known for its major annual fireworks festival and regional industrial and educational centers.
E509252 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: Nagaoka | Statement: [Linz, twinnedWith, Nagaoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagaoka
Context triple: [Linz, twinnedWith, Nagaoka]
  • A. 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.
  • B. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • C. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. 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.
  • 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: Nagaoka
Triple: [Linz, twinnedWith, Nagaoka]
Generated description
Nagaoka is a city in Niigata Prefecture, Japan, known for its major annual fireworks festival and regional industrial and educational centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nagaoka
Target entity description: Nagaoka is a city in Niigata Prefecture, Japan, known for its major annual fireworks festival and regional industrial and educational centers.
  • A. 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.
  • B. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • C. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. 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.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0569fbc81909b855b6990c1415b completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06886d748190b346a1f4cc2b6f10 completed March 21, 2026, 8:58 p.m.
NEDg Description generation batch_69bf09e14dac8190b71f77c74463ba35 completed March 21, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69bf0a31e2f881909fd9baa9a28ae343 completed March 21, 2026, 9:14 p.m.
Created at: March 8, 2026, 3:20 p.m.