Triple

T21363231
Position Surface form Disambiguated ID Type / Status
Subject Oeiras E526837 entity
Predicate contains P35 FINISHED
Object Porto Salvo
Porto Salvo is a civil parish in the municipality of Oeiras, in the Lisbon District of Portugal, known for its residential areas and business parks.
E1480243 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: Porto Salvo | Statement: [Oeiras, contains, Porto Salvo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Salvo
Context triple: [Oeiras, contains, Porto Salvo]
  • A. 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.
  • B. Porto de Mós
    Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
  • C. Peniche
    Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
  • D. Figueira da Foz
    Figueira da Foz is a coastal Portuguese city at the mouth of the Mondego River, known for its wide sandy beaches and seaside tourism.
  • 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: Porto Salvo
Triple: [Oeiras, contains, Porto Salvo]
Generated description
Porto Salvo is a civil parish in the municipality of Oeiras, in the Lisbon District of Portugal, known for its residential areas and business parks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porto Salvo
Target entity description: Porto Salvo is a civil parish in the municipality of Oeiras, in the Lisbon District of Portugal, known for its residential areas and business parks.
  • A. 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.
  • B. Porto de Mós
    Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
  • C. Peniche
    Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
  • D. Figueira da Foz
    Figueira da Foz is a coastal Portuguese city at the mouth of the Mondego River, known for its wide sandy beaches and seaside tourism.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06cbcb481909ec9014da3b0a18a completed April 22, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad69993881909b52927f7372fa0a completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09ae3744588190877e88dd38a80ebd completed May 17, 2026, 12:01 p.m.
NED2 Entity disambiguation (via description) batch_6a09af2184808190b42b5073e90bd83d completed May 17, 2026, 12:05 p.m.
Created at: April 16, 2026, 5:08 p.m.