Triple

T12314020
Position Surface form Disambiguated ID Type / Status
Subject Line 7-Rubi E293551 entity
Predicate hasStation P35 FINISHED
Object Caieiras station
Caieiras station is a commuter rail station in the municipality of Caieiras, São Paulo, serving passengers on the CPTM suburban rail network.
 E1001456 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: Caieiras station | Statement: [Line 7-Rubi, hasStation, Caieiras station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caieiras station
Context triple: [Line 7-Rubi, hasStation, Caieiras station]
  • A. Paineiras station
    Paineiras station is an intermediate stop on Rio de Janeiro’s Corcovado Rack Railway, serving visitors en route to the Christ the Redeemer statue in the Tijuca Forest.
  • B. Campo Belo station
    Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
  • C. Cabo Ruivo station
    Cabo Ruivo station is a Lisbon Metro stop on the Red Line serving the Parque das Nações and eastern Lisbon area.
  • D. Santo Amaro station
    Santo Amaro station is a major interchange station in São Paulo’s metro network, connecting Line 5–Lilac with other urban rail services.
  • E. Capão Redondo station
    Capão Redondo station is a metro terminus in São Paulo, Brazil, serving the southern region of the city on Line 5–Lilac.
  • 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: Caieiras station
Triple: [Line 7-Rubi, hasStation, Caieiras station]
Generated description
Caieiras station is a commuter rail station in the municipality of Caieiras, São Paulo, serving passengers on the CPTM suburban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caieiras station
Target entity description: Caieiras station is a commuter rail station in the municipality of Caieiras, São Paulo, serving passengers on the CPTM suburban rail network.
  • A. Paineiras station
    Paineiras station is an intermediate stop on Rio de Janeiro’s Corcovado Rack Railway, serving visitors en route to the Christ the Redeemer statue in the Tijuca Forest.
  • B. Campo Belo station
    Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
  • C. Cabo Ruivo station
    Cabo Ruivo station is a Lisbon Metro stop on the Red Line serving the Parque das Nações and eastern Lisbon area.
  • D. Santo Amaro station
    Santo Amaro station is a major interchange station in São Paulo’s metro network, connecting Line 5–Lilac with other urban rail services.
  • E. Capão Redondo station
    Capão Redondo station is a metro terminus in São Paulo, Brazil, serving the southern region of the city on Line 5–Lilac.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ce31808190b66bd0ba1d9d2862 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 8, 2026, 9:53 p.m.