Triple

T4691374
Position Surface form Disambiguated ID Type / Status
Subject Lisbon public transport network E104040 entity
Predicate connectsTo P845 FINISHED
Object Oeiras
Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
 E526837 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: Oeiras | Statement: [Lisbon public transport network, connectsTo, Oeiras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oeiras
Context triple: [Lisbon public transport network, connectsTo, Oeiras]
  • A. Barreiro
    Barreiro is a small village located on the Cape Verdean island of Maio.
  • B. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • C. Estoril
    Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
  • D. Aveiro
    Aveiro is a coastal city in central Portugal known for its picturesque canals, colorful moliceiro boats, and distinctive Art Nouveau architecture.
  • E. Figueira da Horta
    Figueira da Horta is a small village located on the island of Maio in Cape Verde.
  • 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: Oeiras
Triple: [Lisbon public transport network, connectsTo, Oeiras]
Generated description
Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oeiras
Target entity description: Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • A. Barreiro
    Barreiro is a small village located on the Cape Verdean island of Maio.
  • B. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • C. Estoril
    Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
  • D. Aveiro
    Aveiro is a coastal city in central Portugal known for its picturesque canals, colorful moliceiro boats, and distinctive Art Nouveau architecture.
  • E. Figueira da Horta
    Figueira da Horta is a small village located on the island of Maio in Cape Verde.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd639c94608190808e535d0abd08a0 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc9d292808190bb0213c52393b153 completed March 22, 2026, 10:52 a.m.
NEDg Description generation batch_69bfca7d89e08190a0505b7b786adba6 completed March 22, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_69bfcad35758819093b5928b08f19899 completed March 22, 2026, 10:56 a.m.
Created at: March 20, 2026, 1:16 p.m.