Triple

T22481281
Position Surface form Disambiguated ID Type / Status
Subject eastern Mallorca E555770 entity
Predicate hasMunicipality P847 FINISHED
Object Son Servera 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: Son Servera | Statement: [eastern Mallorca, hasMunicipality, Son Servera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Son Servera
Context triple: [eastern Mallorca, hasMunicipality, Son Servera]
  • A. Son Servera chosen
    Son Servera is a coastal municipality and village on the eastern side of the island of Mallorca in Spain’s Balearic Islands.
  • B. Servaas
    Servaas is the Dutch name for Saint Servatius of Tongeren-Maastricht, a 4th-century Christian bishop venerated as a patron saint in parts of the Low Countries.
  • C. Sernio
    Sernio is a small municipality in the Lombardy region of northern Italy, situated in the mountainous Valtellina area.
  • D. Val Seriana
    Val Seriana is a valley in the Italian Alps of Lombardy, known for its scenic landscapes, mountain villages, and outdoor recreation opportunities.
  • E. Seresin
    Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c397b248190b36c2fbfa6489693 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.