Triple

T5879697
Position Surface form Disambiguated ID Type / Status
Subject Sant Sebastià (Palma) E130712 entity
Predicate patronSaintOf P3865 FINISHED
Object Palma de Mallorca E144499 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: Palma de Mallorca | Statement: [Sant Sebastià (Palma), patronSaintOf, Palma de Mallorca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palma de Mallorca
Context triple: [Sant Sebastià (Palma), patronSaintOf, Palma de Mallorca]
  • A. Palma de Mallorca chosen
    Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
  • B. Palma
    Palma is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • C. Benidorm
    Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
  • D. Mahón
    Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
  • E. Cala d'Or
    Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03633f0d88190b0ecf595cb28b783 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135489ae481908f2a6ce5b8577cc2 completed March 23, 2026, 12:42 p.m.
Created at: March 22, 2026, 3:57 p.m.