Triple

T7248517
Position Surface form Disambiguated ID Type / Status
Subject Rokkō Mountains E156535 entity
Predicate JapaneseName P744 FINISHED
Object 六甲山地
六甲山地は、兵庫県南東部に位置し、神戸市の背後に連なる山並みとして知られる観光・レジャー地帯です。
E651172 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: 六甲山地 | Statement: [Rokkō Mountains, JapaneseName, 六甲山地]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 六甲山地
Context triple: [Rokkō Mountains, JapaneseName, 六甲山地]
  • A. Xiaohaituo Mountain area
    Xiaohaituo Mountain area is a mountainous region in Beijing’s Yanqing District known for hosting major winter sports venues, including facilities used during the 2022 Winter Olympics.
  • B. Maoke Mountains
    The Maoke Mountains are a major mountain range in the central highlands of New Guinea, known for containing some of the highest peaks in Oceania and remnants of equatorial glaciers.
  • C. Xiaohaituo Mountain
    Xiaohaituo Mountain is a peak in Beijing’s Yanqing District that gained prominence as the mountainous backdrop and location for key venues of the 2022 Winter Olympics.
  • D. Gyeyang Mountain
    Gyeyang Mountain is a prominent natural peak and popular hiking destination in Incheon, South Korea, offering scenic views over the surrounding urban and coastal areas.
  • E. Osado Mountains
    The Osado Mountains are a rugged mountain range forming the prominent northern backbone of Sado Island in Niigata Prefecture, Japan.
  • 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: 六甲山地
Triple: [Rokkō Mountains, JapaneseName, 六甲山地]
Generated description
六甲山地は、兵庫県南東部に位置し、神戸市の背後に連なる山並みとして知られる観光・レジャー地帯です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 六甲山地
Target entity description: 六甲山地は、兵庫県南東部に位置し、神戸市の背後に連なる山並みとして知られる観光・レジャー地帯です。
  • A. Xiaohaituo Mountain area
    Xiaohaituo Mountain area is a mountainous region in Beijing’s Yanqing District known for hosting major winter sports venues, including facilities used during the 2022 Winter Olympics.
  • B. Maoke Mountains
    The Maoke Mountains are a major mountain range in the central highlands of New Guinea, known for containing some of the highest peaks in Oceania and remnants of equatorial glaciers.
  • C. Xiaohaituo Mountain
    Xiaohaituo Mountain is a peak in Beijing’s Yanqing District that gained prominence as the mountainous backdrop and location for key venues of the 2022 Winter Olympics.
  • D. Gyeyang Mountain
    Gyeyang Mountain is a prominent natural peak and popular hiking destination in Incheon, South Korea, offering scenic views over the surrounding urban and coastal areas.
  • E. Osado Mountains
    The Osado Mountains are a rugged mountain range forming the prominent northern backbone of Sado Island in Niigata Prefecture, Japan.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea763f208190af1210cd8d2a05c9 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d39dab6081909842bfa37ff3f972 completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d4690adc81909abbfb7a756f453d completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d517a7108190893878cbef7d1a3a completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:56 p.m.