Triple

T29047931
Position Surface form Disambiguated ID Type / Status
Subject Hogesnelheidslijn Zuid E735183 entity
Predicate usedByRollingStock P5426 FINISHED
Object V250 Fyra (historically)
The V250 Fyra was a high-speed electric multiple unit train built by AnsaldoBreda for cross-border services between the Netherlands and Belgium that became notorious for technical problems and was withdrawn from service shortly after its introduction.
E1847244 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: V250 Fyra (historically) | Statement: [Hogesnelheidslijn Zuid, usedByRollingStock, V250 Fyra (historically)]
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: V250 Fyra (historically)
Triple: [Hogesnelheidslijn Zuid, usedByRollingStock, V250 Fyra (historically)]
Generated description
The V250 Fyra was a high-speed electric multiple unit train built by AnsaldoBreda for cross-border services between the Netherlands and Belgium that became notorious for technical problems and was withdrawn from service shortly after its introduction.

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_69f077e64b88819094d37bdbca8191b3 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66062f54481908eedcc2f2a11295a completed May 2, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f738e00819092cb24795dd594d1 completed June 7, 2026, 7:36 a.m.
NEDg Description generation batch_6a252349bdcc8190a167f8376cf6c58f completed June 7, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_6a2527fa35c481909dcfac5d18038aed completed June 7, 2026, 8:12 a.m.
Created at: April 28, 2026, 10:06 a.m.