Triple

T15149000
Position Surface form Disambiguated ID Type / Status
Subject Sabika hill E361887 entity
Predicate locatedNear P294 FINISHED
Object Albaicín E145102 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: Albaicín | Statement: [Sabika hill, locatedNear, Albaicín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albaicín
Context triple: [Sabika hill, locatedNear, Albaicín]
  • A. Albaicín chosen
    Albaicín is Granada’s historic Moorish quarter, known for its narrow winding streets, whitewashed houses, and panoramic views of the Alhambra.
  • B. Triana neighborhood
    Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
  • C. El Cabanyal
    El Cabanyal is a historic seaside neighborhood in Valencia, Spain, known for its traditional fishermen’s houses and distinctive colorful tilework.
  • D. Málaga historic quarter
    The Málaga historic quarter is the city’s old town, a compact area of narrow streets, traditional plazas, and landmarks like the cathedral and Alcazaba that showcase its rich Andalusian and Mediterranean heritage.
  • E. Barajas district
    Barajas district is a northeastern administrative area of Madrid best known for encompassing Adolfo Suárez Madrid–Barajas Airport and several residential neighborhoods.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c934048190afac78a8023a544a completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec882533c8190aae3f5b735ca4ec9 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:07 a.m.