Triple

T4836455
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Cathedral E108070 entity
Predicate locatedIn P40 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 Cathedral, locatedIn, Alfama district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfama district
Context triple: [Lisbon Cathedral, locatedIn, 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce193488190a618250a5681f3ff completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89d3358c8190bb85ec1835a9f095 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:25 p.m.