Triple

T5241301
Position Surface form Disambiguated ID Type / Status
Subject Algés E118346 entity
Predicate locatedNear P294 FINISHED
Object Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
E505255 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: Linda-a-Velha | Statement: [Algés, locatedNear, Linda-a-Velha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda-a-Velha
Context triple: [Algés, locatedNear, Linda-a-Velha]
  • A. Vale de Lobos
    Vale de Lobos is a locality in Portugal known as the place where the prominent 19th-century writer and historian Alexandre Herculano died.
  • B. Santos-o-Velho
    Santos-o-Velho is a historic riverside neighborhood in Lisbon, Portugal, known for its old convents, palaces, and vibrant nightlife along the Tagus.
  • C. Trancoso
    Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
  • D. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • E. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • 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: Linda-a-Velha
Triple: [Algés, locatedNear, Linda-a-Velha]
Generated description
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linda-a-Velha
Target entity description: Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
  • A. Vale de Lobos
    Vale de Lobos is a locality in Portugal known as the place where the prominent 19th-century writer and historian Alexandre Herculano died.
  • B. Santos-o-Velho
    Santos-o-Velho is a historic riverside neighborhood in Lisbon, Portugal, known for its old convents, palaces, and vibrant nightlife along the Tagus.
  • C. Trancoso
    Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
  • D. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • E. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2c50508190b84bab216c30cbfe completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8278cb88190aa1e0a42d2f8fe8d completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef91bb96c819098b7f6bfa578d9ca completed March 21, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69bef9dc9c908190aac0f7bcaf427dfc completed March 21, 2026, 8:04 p.m.
Created at: March 20, 2026, 1:49 p.m.