Triple

T10643816
Position Surface form Disambiguated ID Type / Status
Subject Luas Red Line E250788 entity
Predicate hasStation P35 FINISHED
Object Busáras stop
Busáras stop is a tram stop in central Dublin, Ireland, serving the Luas Red Line near the city’s main bus station.
E877972 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: Busáras stop | Statement: [Luas Red Line, hasStation, Busáras stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busáras stop
Context triple: [Luas Red Line, hasStation, Busáras stop]
  • A. Zastavna
    Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
  • B. Stopnica
    Stopnica is a small historic town in south-central Poland, known for its medieval origins and location in the Świętokrzyskie Voivodeship.
  • C. Optibús
    Optibús is the bus rapid transit (BRT) system serving the city of León in the Mexican state of Guanajuato.
  • D. Atxuri stop
    Atxuri stop is a tram station in Bilbao, Spain, serving as one of the stops on the city's modern tram network.
  • E. Busaiteen
    Busaiteen is a coastal town in the Kingdom of Bahrain, located on Muharraq Island and known for its residential neighborhoods and proximity to Bahrain International Airport.
  • 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: Busáras stop
Triple: [Luas Red Line, hasStation, Busáras stop]
Generated description
Busáras stop is a tram stop in central Dublin, Ireland, serving the Luas Red Line near the city’s main bus station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Busáras stop
Target entity description: Busáras stop is a tram stop in central Dublin, Ireland, serving the Luas Red Line near the city’s main bus station.
  • A. Zastavna
    Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
  • B. Stopnica
    Stopnica is a small historic town in south-central Poland, known for its medieval origins and location in the Świętokrzyskie Voivodeship.
  • C. Optibús
    Optibús is the bus rapid transit (BRT) system serving the city of León in the Mexican state of Guanajuato.
  • D. Atxuri stop
    Atxuri stop is a tram station in Bilbao, Spain, serving as one of the stops on the city's modern tram network.
  • E. Busaiteen
    Busaiteen is a coastal town in the Kingdom of Bahrain, located on Muharraq Island and known for its residential neighborhoods and proximity to Bahrain International Airport.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfcf65fc81909a0c86daefaab1ab completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4dd4e48190ba7d0291686702e6 completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc07100819088683a0d79b2baa0 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.