Triple

T26478008
Position Surface form Disambiguated ID Type / Status
Subject Midtstuen station E666092 entity
Predicate adjacentStationAwayFromCity P96206 FINISHED
Object Skådalen station
Skådalen station is a stop on the Oslo Metro’s Holmenkollen Line in Oslo, Norway.
 E1873299 NE FINISHED

How this triple was built (3 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: Skådalen station | Statement: [Midtstuen station, adjacentStationAwayFromCity, Skådalen 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: Skådalen station
Triple: [Midtstuen station, adjacentStationAwayFromCity, Skådalen station]
Generated description
Skådalen station is a stop on the Oslo Metro’s Holmenkollen Line in Oslo, Norway.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: adjacentStationAwayFromCity
Context triple: [Midtstuen station, adjacentStationAwayFromCity, Skådalen station]
  • A. adjacentStationAwayFromCenter chosen
    Indicates that one station is directly next to another station in the direction moving away from the central point or hub.
  • B. adjacentToStation
    Indicates that one entity is located next to or immediately beside a station.
  • C. adjacentStationOnA
    Indicates that one station is directly next to another station along line A in the network.
  • D. adjacentStationFormerly
    Indicates that two stations were directly adjacent to each other in the past, but are no longer adjacent in the current network configuration.
  • E. hasAdjacentStationAwayFromCentralLondon
    Indicates that an entity (such as a station) has a neighboring station that is located outside the central London area.
  • F. None of above.

Provenance (6 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_69ee883f80dc819090e311b022b78e02 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f68805b4848190b75da14996d52a38 completed May 2, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d399854819090c04f943f60530e completed June 8, 2026, 2:47 a.m.
NEDg Description generation batch_6a26314b57148190a0af24a25603f189 completed June 8, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2631bfad188190a17e1492a2a03ab2 completed June 8, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
Created at: April 27, 2026, 12:25 a.m.