Triple

T35271187
Position Surface form Disambiguated ID Type / Status
Subject Tōkaidō Shinkansen at Shin-Osaka Station E1018670 entity
Predicate locatedOnCorridor P5520 FINISHED
Object Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor
The Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor is Japan’s busiest bullet train route, linking the Greater Tokyo area with major Kansai and Chūbu cities along the historic Tōkaidō axis.
E1004552 NE FINISHED

How this triple was built (2 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: Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor | Statement: [Tōkaidō Shinkansen at Shin-Osaka Station, locatedOnCorridor, Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor]
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: Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor
Triple: [Tōkaidō Shinkansen at Shin-Osaka Station, locatedOnCorridor, Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor]
Generated description
The Tokyo–Nagoya–Kyoto–Osaka high-speed rail corridor is Japan’s busiest bullet train route, linking the Greater Tokyo area with major Kansai and Chūbu cities along the historic Tōkaidō axis.

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_69f76de5c4788190896ad598ae7d6bc6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f9fabdc8190818a4032238abf08 completed May 3, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e1603c804819083acb4fab474e2e5 completed June 26, 2026, 6:02 a.m.
NEDg Description generation batch_6a3e16dc0e0c8190b479a685e0e7dbbc completed June 26, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3e17f993208190aeae199e9d7839bd completed June 26, 2026, 6:11 a.m.
Created at: May 3, 2026, 4:02 p.m.