Triple

T34146947
Position Surface form Disambiguated ID Type / Status
Subject R2 Sud E875884 entity
Predicate partOfCorridor P840 FINISHED
Object Barcelona–Sant Vicenç de Calders railway
The Barcelona–Sant Vicenç de Calders railway is a key commuter and regional rail line in Catalonia, Spain, linking Barcelona with coastal and inland towns toward Sant Vicenç de Calders.
E1907327 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: Barcelona–Sant Vicenç de Calders railway | Statement: [R2 Sud, partOfCorridor, Barcelona–Sant Vicenç de Calders railway]
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: Barcelona–Sant Vicenç de Calders railway
Triple: [R2 Sud, partOfCorridor, Barcelona–Sant Vicenç de Calders railway]
Generated description
The Barcelona–Sant Vicenç de Calders railway is a key commuter and regional rail line in Catalonia, Spain, linking Barcelona with coastal and inland towns toward Sant Vicenç de Calders.

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_69f349abaa508190a820f206620efddc completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f91c2ec8190a7ff6051f89b5d31 completed May 3, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37181498a08190acc9a260feb3dba7 completed June 20, 2026, 10:45 p.m.
NEDg Description generation batch_6a37198c96ac81909471cc5b2969898e completed June 20, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_6a371a8e4260819080c785be348e9f32 completed June 20, 2026, 10:56 p.m.
Created at: May 1, 2026, 1:54 a.m.