Triple

T24287294
Position Surface form Disambiguated ID Type / Status
Subject Stony Point line E605704 entity
Predicate rollingStock P1305 FINISHED
Object V/Line diesel multiple unit
The V/Line diesel multiple unit is a self-propelled regional passenger train used by Victoria’s V/Line network, notably on non-electrified routes such as the Stony Point line.
 E1629516 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: V/Line diesel multiple unit | Statement: [Stony Point line, rollingStock, V/Line diesel multiple unit]
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: V/Line diesel multiple unit
Triple: [Stony Point line, rollingStock, V/Line diesel multiple unit]
Generated description
The V/Line diesel multiple unit is a self-propelled regional passenger train used by Victoria’s V/Line network, notably on non-electrified routes such as the Stony Point line.

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_69e295480d0c8190846fc3c2e2da1d4c completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f57a9a08190b183879ff76071d0 completed April 29, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9ca8ca88190a04321f5b0a1ab38 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcde5d2688190a3d356d26a249ed5 completed May 22, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0fce64c9248190b8b0f4adac5a2f6a completed May 22, 2026, 3:32 a.m.
Created at: April 18, 2026, 12:08 a.m.