Triple

T19201191
Position Surface form Disambiguated ID Type / Status
Subject Haravgi E470110 entity
Predicate headquartersLocation P62 FINISHED
Object Nicosia 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: Nicosia | Statement: [Haravgi, headquartersLocation, Nicosia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicosia
Context triple: [Haravgi, headquartersLocation, 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. Nicosia
    Nicosia is a historic hill town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • C. 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.
  • 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 (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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f997879c8190ae7618d1ba0cede9 completed April 20, 2026, 10:01 a.m.
Created at: April 10, 2026, 12:07 p.m.