Triple

T2347302
Position Surface form Disambiguated ID Type / Status
Subject First Carrier Division E45159 entity
Predicate componentShip P38891 FINISHED
Object 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.
 E259442 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: [First Carrier Division, componentShip, Amagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amagi
Context triple: [First Carrier Division, componentShip, Amagi]
  • A. 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.
  • B. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • C. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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: [First Carrier Division, componentShip, Amagi]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amagi
Target entity description: 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.
  • A. 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.
  • B. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • C. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abd0d813dc8190aa331cdca0b75eca completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9629f4908190ba3c51b7d12be4e4 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae99f64ab48190b5760eb75276342c completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9ad9706081909593ca75126c43e8 completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:52 p.m.