Triple

T8680667
Position Surface form Disambiguated ID Type / Status
Subject Akrotiri village E206027 entity
Predicate nearbyCity P350 FINISHED
Object Limassol E4668 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: Limassol | Statement: [Akrotiri village, nearbyCity, Limassol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limassol
Context triple: [Akrotiri village, nearbyCity, Limassol]
  • A. Limassol chosen
    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.
  • B. Limassol District
    Limassol District is a coastal administrative region in southern Cyprus that includes the city of Limassol and its surrounding urban and rural areas.
  • C. 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.
  • 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. Limassol Old Town
    Limassol Old Town is the historic center of Limassol, Cyprus, known for its medieval castle, narrow streets, traditional architecture, and vibrant mix of shops, cafes, and cultural sites.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49fa6040819084cb3fe09cd0f109 completed March 31, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4277f84881909e3cc60eeaf05586 completed April 3, 2026, 4:30 a.m.
Created at: March 30, 2026, 6:32 p.m.