Triple

T20898632
Position Surface form Disambiguated ID Type / Status
Subject Mar Menor E514608 entity
Predicate adjacentTo P224 FINISHED
Object San Pedro del Pinatar NE NERFINISHED

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: San Pedro del Pinatar | Statement: [Mar Menor, adjacentTo, San Pedro del Pinatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro del Pinatar
Context triple: [Mar Menor, adjacentTo, San Pedro del Pinatar]
  • A. San Pedro del Pinatar chosen
    San Pedro del Pinatar is a coastal town and popular tourist destination in Spain’s Murcia region, known for its Mediterranean beaches, salt flats, and natural parks.
  • B. Mazarrón
    Mazarrón is a coastal town and popular tourist destination in Spain’s Region of Murcia, known for its beaches, marina, and archaeological heritage.
  • C. Aljezur
    Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
  • D. Pineda de Mar
    Pineda de Mar is a coastal town and popular tourist destination on the Mediterranean in the province of Barcelona, Catalonia, Spain.
  • E. Peña de Martos
    Peña de Martos is a prominent rocky hill and natural landmark overlooking the town of Martos in the province of Jaén, Spain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f826788190b11008cc94b2a4e4 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.