Triple

T9930071
Position Surface form Disambiguated ID Type / Status
Subject Amami Ōshima E192624 entity
Predicate hasTown P847 FINISHED
Object Uken
Uken is a small coastal town located on Amami Ōshima in Kagoshima Prefecture, Japan, known for its subtropical climate and natural scenery.
 E829265 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: Uken | Statement: [Amami Ōshima, hasTown, Uken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uken
Context triple: [Amami Ōshima, hasTown, Uken]
  • A. Uki
    Uki is a coastal city in central Kyushu, Japan, known for its fishing industry, scenic seaside landscapes, and proximity to the city of Kumamoto.
  • B. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • C. Ukiha
    Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
  • D. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • E. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • 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: Uken
Triple: [Amami Ōshima, hasTown, Uken]
Generated description
Uken is a small coastal town located on Amami Ōshima in Kagoshima Prefecture, Japan, known for its subtropical climate and natural scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uken
Target entity description: Uken is a small coastal town located on Amami Ōshima in Kagoshima Prefecture, Japan, known for its subtropical climate and natural scenery.
  • A. Uki
    Uki is a coastal city in central Kyushu, Japan, known for its fishing industry, scenic seaside landscapes, and proximity to the city of Kumamoto.
  • B. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • C. Ukiha
    Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
  • D. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • E. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e258e888190ae4e2abac80e3399 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21229a1188190899df0d8d7f78a7d completed April 5, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69d212a46ee48190aa629a189dee531d completed April 5, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:43 p.m.