Triple

T19899270
Position Surface form Disambiguated ID Type / Status
Subject Mount Takao E478236 entity
Predicate romanization P2508 FINISHED
Object Takao-san
Takao-san is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and views of Mount Fuji.
E1494197 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: Takao-san | Statement: [Mount Takao, romanization, Takao-san]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takao-san
Context triple: [Mount Takao, romanization, Takao-san]
  • A. Takao
    Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
  • B. Takao
    Takao is a Japanese masculine given name commonly borne by notable figures in fields such as science, sports, and the arts.
  • C. Matsugaya
    Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
  • D. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • E. Tsurumatsu
    Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
  • 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: Takao-san
Triple: [Mount Takao, romanization, Takao-san]
Generated description
Takao-san is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and views of Mount Fuji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takao-san
Target entity description: Takao-san is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and views of Mount Fuji.
  • A. Takao
    Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
  • B. Takao
    Takao is a Japanese masculine given name commonly borne by notable figures in fields such as science, sports, and the arts.
  • C. Matsugaya
    Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
  • D. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • E. Tsurumatsu
    Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f7a2ba0819086919b4369d8177e completed May 17, 2026, 6:56 p.m.
NEDg Description generation batch_6a0a1121d7d08190b77e3701044aed3f completed May 17, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0a11698c2481908a8b86038b00ac07 completed May 17, 2026, 7:05 p.m.
Created at: April 10, 2026, 1:52 p.m.