Triple

T6852540
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Cyprus E158055 entity
Predicate importantPort P2994 FINISHED
Object Paphos E166133 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: Paphos | Statement: [Kingdom of Cyprus, importantPort, Paphos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paphos
Context triple: [Kingdom of Cyprus, importantPort, Paphos]
  • A. Paphos chosen
    Paphos is an ancient coastal city in Cyprus famed in Greek mythology as a principal cult center and legendary birthplace of the goddess Aphrodite.
  • B. Mithymna
    Mithymna is a historic coastal town on the Greek island of Lesbos, renowned for its medieval castle, traditional stone architecture, and picturesque harbor.
  • C. Kyrenia
    Kyrenia is a historic coastal city on the northern shore of Cyprus, known for its picturesque harbor, medieval castle, and role as a major tourist and cultural center in the region.
  • D. Larnaca
    Larnaca is a coastal city in southeastern Cyprus known for its historic sites, palm-lined seafront, and role as a major tourism and transport hub.
  • E. 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.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84fffbc8190943ca7f3f03937e9 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a309dd4c81909f2a652f211911bc completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:20 p.m.