Triple

T4679716
Position Surface form Disambiguated ID Type / Status
Subject Eisenstadt E103768 entity
Predicate hasTwinTown P919 FINISHED
Object Sanuki
Sanuki is a city in Kagawa Prefecture on Japan’s Shikoku island, known for its coastal scenery and association with Sanuki-style udon noodles.
E496372 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: Sanuki | Statement: [Eisenstadt, hasTwinTown, Sanuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanuki
Context triple: [Eisenstadt, hasTwinTown, Sanuki]
  • A. Setouchi
    Setouchi is a coastal town on Japan’s Amami Ōshima known for its subtropical climate, scenic bays, and traditional island culture.
  • 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. Tanabe
    Tanabe is a coastal city in Japan known as a gateway to the Kumano Kodo pilgrimage routes and for its scenic natural landscapes.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Imabari
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • 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: Sanuki
Triple: [Eisenstadt, hasTwinTown, Sanuki]
Generated description
Sanuki is a city in Kagawa Prefecture on Japan’s Shikoku island, known for its coastal scenery and association with Sanuki-style udon noodles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanuki
Target entity description: Sanuki is a city in Kagawa Prefecture on Japan’s Shikoku island, known for its coastal scenery and association with Sanuki-style udon noodles.
  • A. Setouchi
    Setouchi is a coastal town on Japan’s Amami Ōshima known for its subtropical climate, scenic bays, and traditional island culture.
  • 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. Tanabe
    Tanabe is a coastal city in Japan known as a gateway to the Kumano Kodo pilgrimage routes and for its scenic natural landscapes.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Imabari
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636c105081908655ab384f539f38 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec33b413081909cc7fcadd6997565 completed March 21, 2026, 4:11 p.m.
NEDg Description generation batch_69bec505a5dc81908f79c1ade107c4ce completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec654fc4881909bf5458cdafc7ffd completed March 21, 2026, 4:24 p.m.
Created at: March 20, 2026, 1:16 p.m.