Triple

T13793487
Position Surface form Disambiguated ID Type / Status
Subject The Cool E331455 entity
Predicate notableSingle P3283 FINISHED
Object Paris, Tokyo
"Paris, Tokyo" is a song by The Cool known for its smooth, atmospheric sound and lyrics that evoke cosmopolitan travel and romantic escapism.
 E1061356 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: Paris, Tokyo | Statement: [The Cool, notableSingle, Paris, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris, Tokyo
Context triple: [The Cool, notableSingle, Paris, Tokyo]
  • A. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tokyo
    "Tokyo" is a popular Afrobeats song by Ghanaian singer King Promise featuring Nigerian artist Wizkid.
  • C. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • D. London–Tokyo
    London–Tokyo is a major intercontinental air route linking the capital cities of the United Kingdom and Japan.
  • E. Seoul–Tokyo
    Seoul–Tokyo is a major international air route connecting the capitals of South Korea and Japan, serving as a key corridor for business and tourism between the two countries.
  • 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: Paris, Tokyo
Triple: [The Cool, notableSingle, Paris, Tokyo]
Generated description
"Paris, Tokyo" is a song by The Cool known for its smooth, atmospheric sound and lyrics that evoke cosmopolitan travel and romantic escapism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris, Tokyo
Target entity description: "Paris, Tokyo" is a song by The Cool known for its smooth, atmospheric sound and lyrics that evoke cosmopolitan travel and romantic escapism.
  • A. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tokyo
    "Tokyo" is a popular Afrobeats song by Ghanaian singer King Promise featuring Nigerian artist Wizkid.
  • C. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • D. London–Tokyo
    London–Tokyo is a major intercontinental air route linking the capital cities of the United Kingdom and Japan.
  • E. Seoul–Tokyo
    Seoul–Tokyo is a major international air route connecting the capitals of South Korea and Japan, serving as a key corridor for business and tourism between the two countries.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b083387081909c6f4beb0e12cf36 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b20f67048190a641527353e3ff43 completed May 3, 2026, 8:37 p.m.
Created at: April 9, 2026, 10:11 p.m.