Triple

T7321649
Position Surface form Disambiguated ID Type / Status
Subject Port de Pollença E168561 entity
Predicate locatedOn P40 FINISHED
Object Bay of Pollença E603443 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: Bay of Pollença | Statement: [Port de Pollença, locatedOn, Bay of Pollença]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay of Pollença
Context triple: [Port de Pollença, locatedOn, Bay of Pollença]
  • A. Bay of Palma
    The Bay of Palma is a large Mediterranean bay on the southwest coast of Mallorca, Spain, known for its beaches, marinas, and the city of Palma along its shores.
  • B. Bay of Alcúdia chosen
    The Bay of Alcúdia is a large, popular coastal bay on the northeastern shore of Mallorca, Spain, known for its long sandy beaches and tourist resorts.
  • C. Canigó
    Canigó is a prominent mountain in the eastern Pyrenees of southern France, culturally significant to Catalan identity and often celebrated in regional literature and tradition.
  • D. Cala d’Hort
    Cala d’Hort is a scenic beach on the southwest coast of Ibiza, famed for its views of the mystical Es Vedrà rock island and its sunsets.
  • E. Cala Millor
    Cala Millor is a popular resort town on the eastern coast of Mallorca, Spain, known for its long sandy beach and tourist amenities.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1ba58481909cfb5030b85f385a completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef01ea8c819091cd4106039c121e completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:03 p.m.