Triple

T21770094
Position Surface form Disambiguated ID Type / Status
Subject Troodos Mountains E537399 entity
Predicate near P350 FINISHED
Object Paphos 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: Paphos | Statement: [Troodos Mountains, near, Paphos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paphos
Context triple: [Troodos Mountains, near, Paphos]
  • A. 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.
  • 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. Paphos District chosen
    Paphos District is an administrative region in southwestern Cyprus that includes the historic coastal city of Paphos and surrounding rural and tourist areas.
  • D. 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.
  • E. 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.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ad76848190b2c7a05d091b7faf completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.