Triple

T18597351
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Letbane E454525 entity
Predicate hasStation P35 FINISHED
Object Universitetet station
Universitetet station is a light rail stop on the Aarhus Letbane network serving the university area in Aarhus, Denmark.
E1333028 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: Universitetet station | Statement: [Aarhus Letbane, hasStation, Universitetet station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universitetet station
Context triple: [Aarhus Letbane, hasStation, Universitetet station]
  • A. Universitet station
    Universitet station is a Moscow Metro station named after the nearby Moscow State University, serving passengers on the Sokolnicheskaya Line.
  • B. Universitat station
    Universitat station is a central Barcelona Metro stop located near the University of Barcelona, serving as a key transit point in the city's downtown area.
  • C. Tyristrand Station
    Tyristrand Station is a railway station in Tyristrand, Norway, serving passengers on the historic Randsfjord Line.
  • D. Vinstra Station
    Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
  • E. Sentrum station
    Sentrum station was the original name of what is now known as Stortinget metro station in central Oslo, Norway.
  • 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: Universitetet station
Triple: [Aarhus Letbane, hasStation, Universitetet station]
Generated description
Universitetet station is a light rail stop on the Aarhus Letbane network serving the university area in Aarhus, Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Universitetet station
Target entity description: Universitetet station is a light rail stop on the Aarhus Letbane network serving the university area in Aarhus, Denmark.
  • A. Universitet station
    Universitet station is a Moscow Metro station named after the nearby Moscow State University, serving passengers on the Sokolnicheskaya Line.
  • B. Universitat station
    Universitat station is a central Barcelona Metro stop located near the University of Barcelona, serving as a key transit point in the city's downtown area.
  • C. Tyristrand Station
    Tyristrand Station is a railway station in Tyristrand, Norway, serving passengers on the historic Randsfjord Line.
  • D. Vinstra Station
    Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
  • E. Sentrum station
    Sentrum station was the original name of what is now known as Stortinget metro station in central Oslo, Norway.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037eda788190977fcb50aa4d2357 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504cd76388190b67c78250297573d completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505482c588190952fe07726f64b93 completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:44 a.m.