Triple

T20966083
Position Surface form Disambiguated ID Type / Status
Subject Largo da Graça E516369 entity
Predicate near P350 FINISHED
Object Alfama neighborhood NE NERFINISHED

How this triple was built (2 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: Alfama neighborhood | Statement: [Largo da Graça, near, Alfama neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfama neighborhood
Context triple: [Largo da Graça, near, Alfama neighborhood]
  • A. Alfama chosen
    Alfama is Lisbon’s oldest and most traditional neighborhood, known for its steep, narrow streets, historic architecture, and vibrant fado music culture.
  • B. Triana neighborhood
    Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
  • C. Albaicín
    Albaicín is Granada’s historic Moorish quarter, known for its narrow winding streets, whitewashed houses, and panoramic views of the Alhambra.
  • D. Santa Leonor District
    Santa Leonor District is an administrative district located within Huaura Province in the Lima Region of Peru, characterized by its rural Andean landscapes and small population.
  • E. Granada neighborhood
    Granada neighborhood is a modern, upscale area in Mexico City known for its high-rise residential developments, shopping centers, and proximity to the business and cultural attractions of Polanco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb74206c819099f9c67eaca45ec1 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:33 p.m.