Triple

T403914
Position Surface form Disambiguated ID Type / Status
Subject Malta E9342 entity
Predicate includesIsland P970 FINISHED
Object Malta Island 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 Island | Statement: [Malta, includesIsland, Malta Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malta Island
Context triple: [Malta, includesIsland, Malta Island]
  • A. Gezira Island
    Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
  • B. 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.
  • C. Snake Island
    Snake Island is a small but strategically important Ukrainian island in the Black Sea, known for its military significance and symbolic role in the Russia–Ukraine conflict.
  • D. Elba
    Elba is a Mediterranean island off the coast of Italy, best known as the site of Napoleon Bonaparte’s first exile in 1814–1815.
  • E. Andros Island
    Andros Island is the largest island in the Bahamas, known for its extensive barrier reef, blue holes, and largely undeveloped natural landscapes.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca226fc81909d6ccc38a637daa6 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a12e5548190aedc6e18ef24c0ce completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.