Triple

T64367
Position Surface form Disambiguated ID Type / Status
Subject Central European Time E1279 entity
Predicate usedInCountry P715 FINISHED
Object Malta E9342 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: Malta | Statement: [Central European Time, usedInCountry, Malta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malta
Context triple: [Central European Time, usedInCountry, Malta]
  • A. Malta chosen
    Malta is a small island nation in the central Mediterranean known for its rich history, strategic location, and membership in the European Union.
  • B. Cyprus
    Cyprus is an island country in the Eastern Mediterranean known for its strategic location, divided capital Nicosia, and blend of Greek and Turkish cultural influences.
  • C. Albania
    Albania is a Balkan country in Southeastern Europe known for its mountainous landscapes, Adriatic and Ionian coastlines, and a history shaped by Ottoman rule, communism, and post–Cold War transition.
  • D. Sicily
    Sicily is the largest island in the Mediterranean Sea, known for its rich ancient history, distinctive culture, and strategic location at the crossroads of Europe and North Africa.
  • E. Sardinia
    Sardinia is a large Mediterranean island known for its rugged coastline, ancient Nuragic archaeological sites, and distinct local culture and language.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24ee576fc8190b42e5d50767beefb completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b4b65e0881908e82b8e3a4bd3aa4 completed Feb. 28, 2026, 9:26 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.