Triple

T19524151
Position Surface form Disambiguated ID Type / Status
Subject Riga tram lines E488476 entity
Predicate hasStop P17789 FINISHED
Object Imanta tram stop
Imanta tram stop is a public transport stop on the tram network in Riga, Latvia, serving the Imanta district.
 E1380375 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: Imanta tram stop | Statement: [Riga tram lines, hasStop, Imanta tram stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Imanta tram stop
Context triple: [Riga tram lines, hasStop, Imanta tram stop]
  • A. 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.
  • B. 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.
  • C. Benchill tram stop
    Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
  • D. Oerlikon tram stop
    Oerlikon tram stop is a public transport stop in the Zürich district of Oerlikon, serving as part of the city’s urban tram system.
  • E. 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.
  • 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: Imanta tram stop
Triple: [Riga tram lines, hasStop, Imanta tram stop]
Generated description
Imanta tram stop is a public transport stop on the tram network in Riga, Latvia, serving the Imanta district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Imanta tram stop
Target entity description: Imanta tram stop is a public transport stop on the tram network in Riga, Latvia, serving the Imanta district.
  • A. 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.
  • B. 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.
  • C. Benchill tram stop
    Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
  • D. Oerlikon tram stop
    Oerlikon tram stop is a public transport stop in the Zürich district of Oerlikon, serving as part of the city’s urban tram system.
  • E. 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.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e636392444819094f6a2aa1cdf3d42 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472cadd88190a7306b8891141157 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07484fcb28819082922c817170d118 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:41 p.m.