Triple

T34752124
Position Surface form Disambiguated ID Type / Status
Subject Utrecht–Baarn railway line E1001810 entity
Predicate hasStation P35 FINISHED
Object Utrecht Overvecht railway station
Utrecht Overvecht railway station is a suburban train station in the Overvecht district of Utrecht in the Netherlands, serving as a local commuter hub on regional rail services.
E2125725 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: Utrecht Overvecht railway station | Statement: [Utrecht–Baarn railway line, hasStation, Utrecht Overvecht railway station]
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: Utrecht Overvecht railway station
Triple: [Utrecht–Baarn railway line, hasStation, Utrecht Overvecht railway station]
Generated description
Utrecht Overvecht railway station is a suburban train station in the Overvecht district of Utrecht in the Netherlands, serving as a local commuter hub on regional rail services.

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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779ebb75c8190b95c0e24356368db completed May 3, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfcff7248190b1393af06a0dee37 completed June 21, 2026, 11:49 a.m.
NEDg Description generation batch_6a37d07ba708819081b552b8a69313e5 completed June 21, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37d1935d9881909cee3755fec2d996 completed June 21, 2026, 11:57 a.m.
Created at: May 3, 2026, 3:59 p.m.