Triple

T27455138
Position Surface form Disambiguated ID Type / Status
Subject Itsukaichi Line E692568 entity
Predicate formerRollingStock P29565 FINISHED
Object 72 series EMU
The 72 series EMU was a type of Japanese electric multiple unit train operated by Japanese National Railways, widely used on commuter lines in the mid-20th century before being replaced by more modern rolling stock.
 E1830736 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: 72 series EMU | Statement: [Itsukaichi Line, formerRollingStock, 72 series EMU]
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: 72 series EMU
Triple: [Itsukaichi Line, formerRollingStock, 72 series EMU]
Generated description
The 72 series EMU was a type of Japanese electric multiple unit train operated by Japanese National Railways, widely used on commuter lines in the mid-20th century before being replaced by more modern rolling stock.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc89bfc81909987840a660f709f completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf0dfdbc8190aecca52356449b9b completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1ccff86fc88190b1438e77f3a5f101 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2494722c7c8190b67b87014e4a2f0a completed June 6, 2026, 9:43 p.m.
Created at: April 27, 2026, 12:48 p.m.