Triple

T19449242
Position Surface form Disambiguated ID Type / Status
Subject Alameda, Lisbon E486567 entity
Predicate near P350 FINISHED
Object Saldanha, Lisbon — NE NERFINISHED

How this triple was built (3 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: Saldanha, Lisbon | Statement: [Alameda, Lisbon, near, Saldanha, Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saldanha, Lisbon
Context triple: [Alameda, Lisbon, near, Saldanha, Lisbon]
  • A. Lagos, Portugal
    Lagos, Portugal is a historic coastal town in the Algarve region that served as a key maritime hub during the Age of Discovery and is now known for its scenic beaches and preserved old town.
  • B. Campolide, Lisbon
    Campolide, Lisbon is a central Lisbon neighborhood known for hosting the main campus of NOVA University Lisbon and combining residential areas with academic and commercial facilities.
  • C. New Lisbon
    New Lisbon is a small town located in Otsego County in central New York State, known for its rural character and scenic countryside.
  • D. São Bento, Lisbon
    São Bento, Lisbon is a historic central neighborhood of Portugal’s capital best known for housing the national parliament in the former São Bento Monastery.
  • E. Belém, Lisbon
    Belém, Lisbon is a historic waterfront district of Portugal’s capital, renowned for its monumental architecture, maritime heritage, and iconic custard tarts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saldanha, Lisbon
Target entity description: Saldanha, Lisbon is a major central district and transport hub in Lisbon, known for its busy squares, offices, shops, and connections to other key city areas.
  • A. Lagos, Portugal
    Lagos, Portugal is a historic coastal town in the Algarve region that served as a key maritime hub during the Age of Discovery and is now known for its scenic beaches and preserved old town.
  • B. Campolide, Lisbon
    Campolide, Lisbon is a central Lisbon neighborhood known for hosting the main campus of NOVA University Lisbon and combining residential areas with academic and commercial facilities.
  • C. New Lisbon
    New Lisbon is a small town located in Otsego County in central New York State, known for its rural character and scenic countryside.
  • D. São Bento, Lisbon
    São Bento, Lisbon is a historic central neighborhood of Portugal’s capital best known for housing the national parliament in the former São Bento Monastery.
  • E. Belém, Lisbon
    Belém, Lisbon is a historic waterfront district of Portugal’s capital, renowned for its monumental architecture, maritime heritage, and iconic custard tarts.
  • F. None of above. chosen

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338be5a48190973d9ecae853900c completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.