Triple

T9930175
Position Surface form Disambiguated ID Type / Status
Subject Tokunoshima Airport E192626 entity
Predicate serves P98 FINISHED
Object Amagi
Amagi is a town located on Tokunoshima Island in Kagoshima Prefecture, Japan.
 E830553 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: Amagi | Statement: [Tokunoshima Airport, serves, Amagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amagi
Context triple: [Tokunoshima Airport, serves, Amagi]
  • A. Amagi
    Amagi was an Imperial Japanese Navy aircraft carrier planned as part of Japan’s early carrier force before being cancelled due to damage from the 1923 Great Kantō earthquake.
  • B. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • E. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • 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: Amagi
Triple: [Tokunoshima Airport, serves, Amagi]
Generated description
Amagi is a town located on Tokunoshima Island in Kagoshima Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amagi
Target entity description: Amagi is a town located on Tokunoshima Island in Kagoshima Prefecture, Japan.
  • A. Amagi
    Amagi was an Imperial Japanese Navy aircraft carrier planned as part of Japan’s early carrier force before being cancelled due to damage from the 1923 Great Kantō earthquake.
  • B. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • E. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • 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_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22990ef5881908b6a6100d7dcf6e6 completed April 5, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69d22a0cb0808190a6119dc0268c50b9 completed April 5, 2026, 9:23 a.m.
Created at: March 30, 2026, 8:43 p.m.