Triple

T22329991
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter Line E551997 entity
Predicate hasStation P35 FINISHED
Object Munkelia station
Munkelia station is a metro station on the Oslo Metro network in Norway, serving the residential area of Munkelia in the Lambertseter district.
E1531363 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: Munkelia station | Statement: [Lambertseter Line, hasStation, Munkelia station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munkelia station
Context triple: [Lambertseter Line, hasStation, Munkelia 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. Sörnäinen station
    Sörnäinen station is an underground metro station in Helsinki, Finland, serving the densely populated Sörnäinen and Kallio districts on the city’s metro network.
  • C. 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.
  • D. Itäkeskus station
    Itäkeskus station is a major eastern Helsinki Metro hub and one of the system’s busiest stations, serving the Itäkeskus commercial and residential area.
  • E. Siilitie station
    Siilitie station is a metro station in Helsinki, Finland, serving the city’s M1 line.
  • 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: Munkelia station
Triple: [Lambertseter Line, hasStation, Munkelia station]
Generated description
Munkelia station is a metro station on the Oslo Metro network in Norway, serving the residential area of Munkelia in the Lambertseter district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munkelia station
Target entity description: Munkelia station is a metro station on the Oslo Metro network in Norway, serving the residential area of Munkelia in the Lambertseter district.
  • 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. Sörnäinen station
    Sörnäinen station is an underground metro station in Helsinki, Finland, serving the densely populated Sörnäinen and Kallio districts on the city’s metro network.
  • C. 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.
  • D. Itäkeskus station
    Itäkeskus station is a major eastern Helsinki Metro hub and one of the system’s busiest stations, serving the Itäkeskus commercial and residential area.
  • E. Siilitie station
    Siilitie station is a metro station in Helsinki, Finland, serving the city’s M1 line.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad523ecec8190a85eb932288965fb completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:43 p.m.