Triple

T1663833
Position Surface form Disambiguated ID Type / Status
Subject Málaga E35967 entity
Predicate locatedOn P40 FINISHED
Object Costa del Sol E35967 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: Costa del Sol | Statement: [Málaga, locatedOn, Costa del Sol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa del Sol
Context triple: [Málaga, locatedOn, Costa del Sol]
  • A. Andalusia
    Andalusia is a historic region in southern Spain renowned for its rich Islamic heritage, distinctive architecture, and lasting cultural influence from centuries of Muslim rule.
  • B. Andalusia
    Andalusia is a small city in southern Alabama known as the county seat of Covington County and for its historic downtown and regional festivals.
  • C. Mallorca
    Mallorca is the largest of Spain’s Balearic Islands, renowned for its Mediterranean beaches, rugged limestone mountains, and historic towns such as Palma.
  • D. Málaga chosen
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • E. Costa Norte
    Costa Norte is a coastal region in the Mexican state of Jalisco known for its Pacific beaches and tourist destinations.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ad958f48190a6344e1be78b574d completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682d968081909494920f3a7ea3af completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.