Triple

T23080968
Position Surface form Disambiguated ID Type / Status
Subject Bestum E575469 entity
Predicate hasPublicTransportConnection P3791 FINISHED
Object Bestum tram stop
Bestum tram stop is a light rail station in Oslo, Norway, serving the residential Bestum area on the Oslo Tramway network.
 E1570258 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: Bestum tram stop | Statement: [Bestum, hasPublicTransportConnection, Bestum tram stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bestum tram stop
Context triple: [Bestum, hasPublicTransportConnection, Bestum tram stop]
  • A. Imanta tram stop
    Imanta tram stop is a public transport stop on the tram network in Riga, Latvia, serving the Imanta district.
  • B. Benchill tram stop
    Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
  • C. Rathaus tram stop
    Rathaus tram stop is a public transport stop on Zurich’s tram network located along the historic Limmatquai near the city’s town hall.
  • D. Mosson tram stop
    Mosson tram stop is a tram station in Montpellier, France, serving as a key terminus and interchange point on the city’s tramway network.
  • E. Martinscroft tram stop
    Martinscroft tram stop is a light-rail station on Greater Manchester’s Metrolink network, serving the Airport Line in the Wythenshawe area.
  • 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: Bestum tram stop
Triple: [Bestum, hasPublicTransportConnection, Bestum tram stop]
Generated description
Bestum tram stop is a light rail station in Oslo, Norway, serving the residential Bestum area on the Oslo Tramway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bestum tram stop
Target entity description: Bestum tram stop is a light rail station in Oslo, Norway, serving the residential Bestum area on the Oslo Tramway network.
  • A. Imanta tram stop
    Imanta tram stop is a public transport stop on the tram network in Riga, Latvia, serving the Imanta district.
  • B. Benchill tram stop
    Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
  • C. Rathaus tram stop
    Rathaus tram stop is a public transport stop on Zurich’s tram network located along the historic Limmatquai near the city’s town hall.
  • D. Mosson tram stop
    Mosson tram stop is a tram station in Montpellier, France, serving as a key terminus and interchange point on the city’s tramway network.
  • E. Martinscroft tram stop
    Martinscroft tram stop is a light-rail station on Greater Manchester’s Metrolink network, serving the Airport Line in the Wythenshawe area.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b0a6ac819085f13e7bdc82840f completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c175e246081909d6451f245ccfe66 completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1820a4d88190aed59f50b4e7ec47 completed May 19, 2026, 7:58 a.m.
Created at: April 17, 2026, 3:56 p.m.