Triple

T21363232
Position Surface form Disambiguated ID Type / Status
Subject Oeiras E526837 entity
Predicate contains P35 FINISHED
Object Barcarena
Barcarena is a civil parish in the municipality of Oeiras, Portugal, known for its historical industrial heritage and proximity to Lisbon.
 E1480244 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: Barcarena | Statement: [Oeiras, contains, Barcarena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barcarena
Context triple: [Oeiras, contains, Barcarena]
  • A. Alpharita
    Alpharita is the birth name of Rita Marley, the Jamaican singer and widow of reggae legend Bob Marley.
  • B. Colva
    Colva is a coastal village in South Goa, India, known for its long stretch of white-sand beach, tourism, and vibrant seaside atmosphere.
  • C. Darsena
    Darsena is a metro station on Genoa’s Line 1 serving the historic port area near the city’s old harbor.
  • D. Benagues
    Benagues is a small commune in the Ariège department of southwestern France, situated within the administrative arrondissement of Pamiers.
  • E. Port of Corvo
    The Port of Corvo is a small maritime harbor on Corvo Island in the Azores, serving as the island’s primary gateway for passenger transport and cargo.
  • 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: Barcarena
Triple: [Oeiras, contains, Barcarena]
Generated description
Barcarena is a civil parish in the municipality of Oeiras, Portugal, known for its historical industrial heritage and proximity to Lisbon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barcarena
Target entity description: Barcarena is a civil parish in the municipality of Oeiras, Portugal, known for its historical industrial heritage and proximity to Lisbon.
  • A. Alpharita
    Alpharita is the birth name of Rita Marley, the Jamaican singer and widow of reggae legend Bob Marley.
  • B. Colva
    Colva is a coastal village in South Goa, India, known for its long stretch of white-sand beach, tourism, and vibrant seaside atmosphere.
  • C. Darsena
    Darsena is a metro station on Genoa’s Line 1 serving the historic port area near the city’s old harbor.
  • D. Benagues
    Benagues is a small commune in the Ariège department of southwestern France, situated within the administrative arrondissement of Pamiers.
  • E. Port of Corvo
    The Port of Corvo is a small maritime harbor on Corvo Island in the Azores, serving as the island’s primary gateway for passenger transport and cargo.
  • 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.