Triple

T23145374
Position Surface form Disambiguated ID Type / Status
Subject Izitso E577570 entity
Predicate hasTrack P3284 FINISHED
Object Kypros 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: Kypros | Statement: [Izitso, hasTrack, Kypros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kypros
Context triple: [Izitso, hasTrack, Kypros]
  • A. Cyprus chosen
    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.
  • B. Cypros
    Cypros was a Nabatean noblewoman best known as the mother of Herod the Great, the Roman-appointed king of Judea.
  • C. Makronisi
    Makronisi is a small uninhabited Greek islet in the Dodecanese, located just off the island of Arkoi in the Aegean Sea.
  • D. Cretas
    Cretas is a small historic municipality in the Matarranya comarca of the province of Teruel, in the autonomous community of Aragon, Spain.
  • E. Imbros
    Imbros is a Greek island in the northeastern Aegean Sea, known today as Gökçeada and belonging to Turkey.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecd40108190aaad7faf754b7936 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4:01 p.m.