Triple

T16643063
Position Surface form Disambiguated ID Type / Status
Subject Mount Usu E404393 entity
Predicate locatedNear P294 FINISHED
Object Date city
Date city is a municipality in Hokkaido, Japan, known for its proximity to volcanic landscapes and hot spring areas.
E1225309 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: Date city | Statement: [Mount Usu, locatedNear, Date city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Date city
Context triple: [Mount Usu, locatedNear, Date city]
  • A. CITY
    CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
  • B. the City
    The City is London's historic and financial district, renowned as one of the world's leading centers for banking, insurance, and global finance.
  • C. Art City
    Art City is the nickname of Springville, Utah, reflecting its strong emphasis on visual arts, galleries, and cultural events.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • 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: Date city
Triple: [Mount Usu, locatedNear, Date city]
Generated description
Date city is a municipality in Hokkaido, Japan, known for its proximity to volcanic landscapes and hot spring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Date city
Target entity description: Date city is a municipality in Hokkaido, Japan, known for its proximity to volcanic landscapes and hot spring areas.
  • A. CITY
    CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
  • B. the City
    The City is London's historic and financial district, renowned as one of the world's leading centers for banking, insurance, and global finance.
  • C. Art City
    Art City is the nickname of Springville, Utah, reflecting its strong emphasis on visual arts, galleries, and cultural events.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad27b5481908316b4f23fb8bc32 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bd1b648190b6189533dcd7b9ac completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008568d2e88190a3757c7d48fa464b completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0085d27d188190a13ba94c6a642dde completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.