Triple

T15259537
Position Surface form Disambiguated ID Type / Status
Subject Nerja E364735 entity
Predicate region P40 FINISHED
Object Axarquía E706736 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: Axarquía | Statement: [Nerja, region, Axarquía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Axarquía
Context triple: [Nerja, region, Axarquía]
  • A. Axarquía chosen
    Axarquía is a coastal and mountainous comarca in eastern Málaga, Spain, known for its whitewashed villages, subtropical climate, and Mediterranean beaches.
  • B. Alcaria
    Alcaria is a civil parish located within the municipality of Porto de Mós in central Portugal.
  • C. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • D. Provadia
    Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
  • E. Tsakonia
    Tsakonia is a small mountainous region in the eastern Peloponnese of Greece known as the traditional homeland of the Tsakonian-speaking community, whose language descends from ancient Doric Greek.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f9a0708190bc429692788a63d7 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.