Triple

T3166201
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Santa Apolónia railway station E66216 entity
Predicate near P350 FINISHED
Object Alfama district E18929 NE FINISHED

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 district | Statement: [Lisbon Santa Apolónia railway station, near, Alfama district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfama district
Context triple: [Lisbon Santa Apolónia railway station, near, Alfama district]
  • 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. Albaicín
    Albaicín is Granada’s historic Moorish quarter, known for its narrow winding streets, whitewashed houses, and panoramic views of the Alhambra.
  • C. Triana neighborhood
    Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
  • D. Mughrabi Quarter
    The Mughrabi Quarter was a historic Moroccan and North African Muslim neighborhood in Jerusalem’s Old City that was demolished after 1967 to create the Western Wall Plaza.
  • E. Sintra
    Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.