Triple

T16812214
Position Surface form Disambiguated ID Type / Status
Subject Azuma trains E408641 entity
Predicate operatorBrand P32898 FINISHED
Object Azuma
Azuma is a brand of high-speed intercity trains used in the United Kingdom, particularly on the East Coast Main Line.
E1467425 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: Azuma | Statement: [Azuma trains, operatorBrand, Azuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azuma
Context triple: [Azuma trains, operatorBrand, Azuma]
  • A. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • B. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • C. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • D. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • E. Tarumizu
    Tarumizu is a coastal city in Kagoshima Prefecture, Japan, known for its scenic views of Sakurajima volcano across Kagoshima Bay.
  • 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: Azuma
Triple: [Azuma trains, operatorBrand, Azuma]
Generated description
Azuma is a brand of high-speed intercity trains used in the United Kingdom, particularly on the East Coast Main Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Azuma
Target entity description: Azuma is a brand of high-speed intercity trains used in the United Kingdom, particularly on the East Coast Main Line.
  • A. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • B. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • C. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • D. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • E. Tarumizu
    Tarumizu is a coastal city in Kagoshima Prefecture, Japan, known for its scenic views of Sakurajima volcano across Kagoshima Bay.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2df5c888190a462614e1432c357 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0965c74be4819092c3bdbc2ac36aff completed May 17, 2026, 6:52 a.m.
NEDg Description generation batch_6a0966a973c88190a80dea4cac560614 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a09671c01a08190a9034fdb91119c3f completed May 17, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.