Triple

T8947537
Position Surface form Disambiguated ID Type / Status
Subject Bilbao tram E213258 entity
Predicate hasStop P17789 FINISHED
Object Pío Baroja stop
Pío Baroja stop is a tram station in Bilbao, Spain, serving the city’s modern light rail network.
 E768429 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: Pío Baroja stop | Statement: [Bilbao tram, hasStop, Pío Baroja stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pío Baroja stop
Context triple: [Bilbao tram, hasStop, Pío Baroja stop]
  • A. Manuel Tolsá
    Manuel Tolsá was a prominent Spanish neoclassical architect and sculptor active in New Spain, renowned for major works in Mexico City and Guadalajara.
  • B. José María Pemán
    José María Pemán was a 20th-century Spanish writer, poet, and conservative intellectual known for his plays, essays, and support of the Franco regime.
  • C. Pío Tristán
    Pío Tristán was a Spanish-Peruvian military officer and colonial official who played a prominent role in the late stages of Spanish rule in South America, including the independence wars.
  • D. Fernando Póo
    Fernando Póo is the former colonial name of Bioko Island, a volcanic island in the Gulf of Guinea that is now part of Equatorial Guinea.
  • E. García Vivanco
    García Vivanco is a Spanish-language surname associated with individuals such as Francisco García Vivanco.
  • 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: Pío Baroja stop
Triple: [Bilbao tram, hasStop, Pío Baroja stop]
Generated description
Pío Baroja stop is a tram station in Bilbao, Spain, serving the city’s modern light rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pío Baroja stop
Target entity description: Pío Baroja stop is a tram station in Bilbao, Spain, serving the city’s modern light rail network.
  • A. Manuel Tolsá
    Manuel Tolsá was a prominent Spanish neoclassical architect and sculptor active in New Spain, renowned for major works in Mexico City and Guadalajara.
  • B. José María Pemán
    José María Pemán was a 20th-century Spanish writer, poet, and conservative intellectual known for his plays, essays, and support of the Franco regime.
  • C. Pío Tristán
    Pío Tristán was a Spanish-Peruvian military officer and colonial official who played a prominent role in the late stages of Spanish rule in South America, including the independence wars.
  • D. Fernando Póo
    Fernando Póo is the former colonial name of Bioko Island, a volcanic island in the Gulf of Guinea that is now part of Equatorial Guinea.
  • E. García Vivanco
    García Vivanco is a Spanish-language surname associated with individuals such as Francisco García Vivanco.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:59 p.m.