Triple

T20982955
Position Surface form Disambiguated ID Type / Status
Subject Seville commuter rail E516810 entity
Predicate terminus P388 FINISHED
Object Benacazón
Benacazón is a town in the province of Seville, Spain, known for serving as an endpoint on the Seville commuter rail network.
 E1463214 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: Benacazón | Statement: [Seville commuter rail, terminus, Benacazón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benacazón
Context triple: [Seville commuter rail, terminus, Benacazón]
  • A. Cabrils
    Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
  • B. Rascafría
    Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
  • C. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • D. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • E. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • 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: Benacazón
Triple: [Seville commuter rail, terminus, Benacazón]
Generated description
Benacazón is a town in the province of Seville, Spain, known for serving as an endpoint on the Seville commuter rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benacazón
Target entity description: Benacazón is a town in the province of Seville, Spain, known for serving as an endpoint on the Seville commuter rail network.
  • A. Cabrils
    Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
  • B. Rascafría
    Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
  • C. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • D. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • E. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe03244819097630333e70c4e88 completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094736cde48190b4f724d807fd8097 completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a0948d68210819092b29e97af6464b5 completed May 17, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_6a094931b1f8819088ad7575eddde0a4 completed May 17, 2026, 4:50 a.m.
Created at: April 16, 2026, 1:48 p.m.