Triple

T2158805
Position Surface form Disambiguated ID Type / Status
Subject President of Cyprus E47953 entity
Predicate seat P75 FINISHED
Object Nicosia E27954 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: Nicosia | Statement: [President of Cyprus, seat, Nicosia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicosia
Context triple: [President of Cyprus, seat, Nicosia]
  • A. Nicosia chosen
    Nicosia is the capital and largest city of Cyprus, known for being the last divided capital in Europe, split between the Greek Cypriot south and Turkish Cypriot north.
  • B. Famagusta
    Famagusta is a historic port city on the eastern coast of Cyprus, known for its medieval architecture, walled old town, and strategic maritime importance.
  • C. Limassol
    Limassol is a major coastal city in Cyprus known for its busy port, tourism, and role as a commercial and financial hub in the Eastern Mediterranean.
  • D. Paphos
    Paphos is an ancient coastal city in Cyprus famed in Greek mythology as a principal cult center and legendary birthplace of the goddess Aphrodite.
  • E. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe6a412c8190ae632282650739d9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e796e88190a8d86979c7ff952f completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.