Triple

T15399518
Position Surface form Disambiguated ID Type / Status
Subject Shimane 2nd district E368272 entity
Predicate includesMunicipality P14658 FINISHED
Object Unnan
Unnan is a city in Shimane Prefecture, Japan, known for its rural landscapes, hot springs, and traditional cultural sites.
 E1154932 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: Unnan | Statement: [Shimane 2nd district, includesMunicipality, Unnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unnan
Context triple: [Shimane 2nd district, includesMunicipality, Unnan]
  • A. Unna
    Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • B. Inunhan
    Inunhan is a regional dialect of the Romblomanon language spoken by communities in the province of Romblon in the Philippines.
  • C. Utne
    Utne is a small village in western Norway known for its scenic location along the Hardangerfjord and its historic wooden hotel.
  • D. Uinen
    Uinen is a Maia from J.R.R. Tolkien’s legendarium, revered as the Lady of the Seas and protector of mariners.
  • E. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • 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: Unnan
Triple: [Shimane 2nd district, includesMunicipality, Unnan]
Generated description
Unnan is a city in Shimane Prefecture, Japan, known for its rural landscapes, hot springs, and traditional cultural sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unnan
Target entity description: Unnan is a city in Shimane Prefecture, Japan, known for its rural landscapes, hot springs, and traditional cultural sites.
  • A. Unna
    Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • B. Inunhan
    Inunhan is a regional dialect of the Romblomanon language spoken by communities in the province of Romblon in the Philippines.
  • C. Utne
    Utne is a small village in western Norway known for its scenic location along the Hardangerfjord and its historic wooden hotel.
  • D. Uinen
    Uinen is a Maia from J.R.R. Tolkien’s legendarium, revered as the Lady of the Seas and protector of mariners.
  • E. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff144af00481909191a2d33874c195 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff15ae7c9c81909fd0894e48e5b5b1 completed May 9, 2026, 11:08 a.m.
Created at: April 10, 2026, 3:19 a.m.