Triple

T753207
Position Surface form Disambiguated ID Type / Status
Subject Union for the Mediterranean E15495 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Maltese E51443 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: Maltese | Statement: [Union for the Mediterranean, hasOfficialLanguage, Maltese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maltese
Context triple: [Union for the Mediterranean, hasOfficialLanguage, Maltese]
  • A. Maltese chosen
    Maltese is a Semitic language with significant Romance and English influences, spoken primarily in Malta and written in the Latin alphabet.
  • B. Manx
    Manx is a Celtic language of the Goidelic branch traditionally spoken on the Isle of Man.
  • C. Llanito
    Llanito is a unique vernacular spoken in Gibraltar that blends Andalusian Spanish, British English, and elements from other Mediterranean languages.
  • D. Sardinian language
    The Sardinian language is a Romance language spoken on the island of Sardinia, noted for preserving many archaic features of Latin more than any other modern Romance tongue.
  • E. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64d7d2c8190a6059adcb8fbd34f completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.