Triple

T4825047
Position Surface form Disambiguated ID Type / Status
Subject Rivas-Vaciamadrid E107802 entity
Predicate hasMetroStation P522 FINISHED
Object Rivas Futura
Rivas Futura is a Madrid Metro station serving the Rivas-Vaciamadrid area on the outskirts of Spain’s capital.
E473366 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: Rivas Futura | Statement: [Rivas-Vaciamadrid, hasMetroStation, Rivas Futura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivas Futura
Context triple: [Rivas-Vaciamadrid, hasMetroStation, Rivas Futura]
  • A. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Tinta Barroca
    Tinta Barroca is a red Portuguese grape variety widely used in the Douro Valley for producing Port and robust table wines, known for its deep color and ripe, fruity character.
  • D. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • E. El Marg
    El Marg is a northeastern district of Cairo known for its dense residential neighborhoods and role as a gateway between the city and its surrounding suburbs.
  • 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: Rivas Futura
Triple: [Rivas-Vaciamadrid, hasMetroStation, Rivas Futura]
Generated description
Rivas Futura is a Madrid Metro station serving the Rivas-Vaciamadrid area on the outskirts of Spain’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rivas Futura
Target entity description: Rivas Futura is a Madrid Metro station serving the Rivas-Vaciamadrid area on the outskirts of Spain’s capital.
  • A. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Tinta Barroca
    Tinta Barroca is a red Portuguese grape variety widely used in the Douro Valley for producing Port and robust table wines, known for its deep color and ripe, fruity character.
  • D. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • E. El Marg
    El Marg is a northeastern district of Cairo known for its dense residential neighborhoods and role as a gateway between the city and its surrounding suburbs.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dca2b708190ac05c91ba04d9ff6 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4fc6ea3c819099ede84700eb5a5a completed March 21, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69be5146f1ac8190977512323af69487 completed March 21, 2026, 8:05 a.m.
Created at: March 20, 2026, 1:24 p.m.