Triple

T6197125
Position Surface form Disambiguated ID Type / Status
Subject Vallentuna E138535 entity
Predicate hasRailwayStation P918 FINISHED
Object Vallentuna station
Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
E578601 NE FINISHED

How this triple was built (4 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: Vallentuna station | Statement: [Vallentuna, hasRailwayStation, Vallentuna station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallentuna station
Context triple: [Vallentuna, hasRailwayStation, Vallentuna station]
  • A. Syosset station
    Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
  • B. Matinkylä station
    Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
  • C. Kivenlahti station
    Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
  • D. Mellunmäki station
    Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
  • E. Majorstuen station
    Majorstuen station is a key interchange on the Oslo Metro where multiple lines converge, serving as a major transit hub in the western part of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Vallentuna station
Triple: [Vallentuna, hasRailwayStation, Vallentuna station]
Generated description
Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vallentuna station
Target entity description: Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
  • A. Syosset station
    Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
  • B. Matinkylä station
    Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
  • C. Kivenlahti station
    Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
  • D. Mellunmäki station
    Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
  • E. Majorstuen station
    Majorstuen station is a key interchange on the Oslo Metro where multiple lines converge, serving as a major transit hub in the western part of the city.
  • F. None of above. chosen

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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062508f5c8190a00291708a9a7de9 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d96415c8190b0c5c7f9fd19f5be completed March 24, 2026, 4:05 a.m.
NEDg Description generation batch_69c214980bbc8190b188b3c821ea13ea completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c2157d43048190a0376cdc9024c5f9 completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:20 p.m.