Triple

T36813113
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro 02 series (former) E909648 entity
Predicate replacedRollingStock P14642 FINISHED
Object Tokyo Metro 900 series
The Tokyo Metro 900 series is a modern electric multiple unit train type introduced to upgrade and replace older rolling stock on Tokyo Metro lines, featuring improved performance, safety, and passenger comfort.
E895609 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 Metro 900 series | Statement: [Tokyo Metro 02 series (former), replacedRollingStock, Tokyo Metro 900 series]
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 Metro 900 series
Triple: [Tokyo Metro 02 series (former), replacedRollingStock, Tokyo Metro 900 series]
Generated description
The Tokyo Metro 900 series is a modern electric multiple unit train type introduced to upgrade and replace older rolling stock on Tokyo Metro lines, featuring improved performance, safety, and passenger comfort.

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_69f76e7cbbf48190891227b14d041139 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca6ff9c4819093b5c3eb668ec7de completed May 3, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfad012d881909a3877b726b07f7c completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3dff516f7481908e2957f5e120c881 completed June 26, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a3e02459e0881908620bd88e5caef4b completed June 26, 2026, 4:38 a.m.
Created at: May 3, 2026, 4:13 p.m.