Triple

T19126095
Position Surface form Disambiguated ID Type / Status
Subject Santa Maria Maior (Lisbon) E468186 entity
Predicate contains P35 FINISHED
Object Sé neighborhood — 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: Sé neighborhood | Statement: [Santa Maria Maior (Lisbon), contains, Sé neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sé neighborhood
Context triple: [Santa Maria Maior (Lisbon), contains, Sé neighborhood]
  • A. La Calleja neighborhood
    La Calleja neighborhood is a residential area in the Usaquén locality of northern Bogotá, Colombia, known for its quiet streets, mid- to high-income housing, and proximity to major commercial and business zones.
  • B. La Ribera neighborhood
    La Ribera neighborhood is a historic district in Barcelona known for its medieval streets, vibrant cultural scene, and landmarks like the Picasso Museum and Santa Maria del Mar church.
  • C. La Ronda neighborhood
    La Ronda neighborhood is a historic, colonial-era district in Quito, Ecuador, known for its narrow cobblestone streets, traditional architecture, and vibrant arts and nightlife scene.
  • D. El Guinardó neighborhood
    El Guinardó neighborhood is a largely residential district in northeastern Barcelona known for its hillside parks, local atmosphere, and proximity to major modernist landmarks.
  • E. Carmen neighbourhood
    Carmen neighbourhood is a historic district in Valencia, Spain, known for its medieval streets, vibrant nightlife, and rich cultural heritage.
  • 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: Sé neighborhood
Target entity description: The Sé neighborhood is Lisbon’s historic cathedral district, known for its medieval streets, iconic Lisbon Cathedral, and views over the city’s old quarters.
  • A. La Calleja neighborhood
    La Calleja neighborhood is a residential area in the Usaquén locality of northern Bogotá, Colombia, known for its quiet streets, mid- to high-income housing, and proximity to major commercial and business zones.
  • B. La Ribera neighborhood
    La Ribera neighborhood is a historic district in Barcelona known for its medieval streets, vibrant cultural scene, and landmarks like the Picasso Museum and Santa Maria del Mar church.
  • C. La Ronda neighborhood
    La Ronda neighborhood is a historic, colonial-era district in Quito, Ecuador, known for its narrow cobblestone streets, traditional architecture, and vibrant arts and nightlife scene.
  • D. El Guinardó neighborhood
    El Guinardó neighborhood is a largely residential district in northeastern Barcelona known for its hillside parks, local atmosphere, and proximity to major modernist landmarks.
  • E. Carmen neighbourhood
    Carmen neighbourhood is a historic district in Valencia, Spain, known for its medieval streets, vibrant nightlife, and rich cultural heritage.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cc5ba08190a1073f2836caf5d3 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.