Triple

T7775133
Position Surface form Disambiguated ID Type / Status
Subject Metro de Medellín E179170 entity
Predicate hasTerminus P388 FINISHED
Object Arví station
Arví station is a cable car terminal of the Medellín Metro system that serves as the gateway to the Arví ecological nature reserve in the hills above the city.
E687863 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: Arví station | Statement: [Metro de Medellín, hasTerminus, Arví station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arví station
Context triple: [Metro de Medellín, hasTerminus, Arví station]
  • A. Järla station
    Järla station is a local railway stop in Nacka, near Stockholm, serving the surrounding residential and lakeside area.
  • B. Unna station
    Unna station is the main railway station serving the town of Unna in North Rhine-Westphalia, Germany, providing regional and local train connections.
  • C. Hynnekleiv Station
    Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
  • D. Kløfta Station
    Kløfta Station is a railway station serving the village of Kløfta in Ullensaker, Norway, on key lines connecting the area to Oslo and surrounding regions.
  • E. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • 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: Arví station
Triple: [Metro de Medellín, hasTerminus, Arví station]
Generated description
Arví station is a cable car terminal of the Medellín Metro system that serves as the gateway to the Arví ecological nature reserve in the hills above the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arví station
Target entity description: Arví station is a cable car terminal of the Medellín Metro system that serves as the gateway to the Arví ecological nature reserve in the hills above the city.
  • A. Järla station
    Järla station is a local railway stop in Nacka, near Stockholm, serving the surrounding residential and lakeside area.
  • B. Unna station
    Unna station is the main railway station serving the town of Unna in North Rhine-Westphalia, Germany, providing regional and local train connections.
  • C. Hynnekleiv Station
    Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
  • D. Kløfta Station
    Kløfta Station is a railway station serving the village of Kløfta in Ullensaker, Norway, on key lines connecting the area to Oslo and surrounding regions.
  • E. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046331e0819080ec1a5c23c27cd7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7f12b888190b10479c3db81cce2 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b84f88819086ecd371b62e2b5b completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c917a1308190ab2c8e70d6ed8c0e completed March 29, 2026, 6:39 a.m.
Created at: March 27, 2026, 4:11 p.m.