Triple

T22616829
Position Surface form Disambiguated ID Type / Status
Subject Son Servera E558169 entity
Predicate capital P234 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: [Son Servera, capital, Son Servera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Son Servera
Context triple: [Son Servera, capital, 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167eeb220819082c90a8bd3cadc4c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.