Triple

T22481276
Position Surface form Disambiguated ID Type / Status
Subject eastern Mallorca E555770 entity
Predicate hasTown P847 FINISHED
Object Sa Coma 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: Sa Coma | Statement: [eastern Mallorca, hasTown, Sa Coma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sa Coma
Context triple: [eastern Mallorca, hasTown, Sa Coma]
  • A. Sa Coma chosen
    Sa Coma is a coastal resort town on the eastern coast of Mallorca, Spain, known for its sandy beach and tourist amenities.
  • B. Comasch
    Comasch is an alternative name for the Comasco dialect, a regional variety of the Lombard language spoken around the city of Como in northern Italy.
  • C. Baarìa
    Baarìa is an Italian epic drama film directed by Giuseppe Tornatore that chronicles several generations of life, politics, and love in a Sicilian town.
  • D. Ascó
    Ascó is a municipality in Catalonia, Spain, best known for hosting one of the country’s major nuclear power plants along the Ebro River.
  • E. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • 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.