Triple

T6314031
Position Surface form Disambiguated ID Type / Status
Subject Utsunomiya Station E141570 entity
Predicate servedByService P1294 FINISHED
Object Yamabiko
Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
E626154 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: Yamabiko | Statement: [Utsunomiya Station, servedByService, Yamabiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamabiko
Context triple: [Utsunomiya Station, servedByService, Yamabiko]
  • A. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • B. Oki-no-mimi
    Oki-no-mimi is one of the principal peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
  • C. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • D. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • E. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • 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: Yamabiko
Triple: [Utsunomiya Station, servedByService, Yamabiko]
Generated description
Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yamabiko
Target entity description: Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • A. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • B. Oki-no-mimi
    Oki-no-mimi is one of the principal peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
  • C. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • D. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • E. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a075dc8190acf7ec010cb4b00c completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7421871888190aab99c6c5f6c147d completed March 28, 2026, 2:51 a.m.
NEDg Description generation batch_69c742fdbd888190bc5b5ec5e2cbcd6a completed March 28, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69c7436b4aa08190aa5bb222c3c45fa9 completed March 28, 2026, 2:56 a.m.
Created at: March 22, 2026, 4:28 p.m.