Triple

T7392484
Position Surface form Disambiguated ID Type / Status
Subject Kyrenia E170534 entity
Predicate region P40 FINISHED
Object Kyrenia District E170534 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: Kyrenia District | Statement: [Kyrenia, region, Kyrenia District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyrenia District
Context triple: [Kyrenia, region, Kyrenia District]
  • A. Paphos District
    Paphos District is an administrative region in southwestern Cyprus that includes the historic coastal city of Paphos and surrounding rural and tourist areas.
  • B. Larnaca District
    Larnaca District is an administrative region on the southern coast of Cyprus, known for its historic sites, coastal tourism, and the city of Larnaca as its main urban center.
  • C. Kyrenia chosen
    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. Nicosia District
    Nicosia District is an administrative region in central Cyprus that includes the island’s capital city, Nicosia, and serves as a major political, economic, and educational hub.
  • E. Chora District
    Chora District is an administrative district located within Afghanistan’s central Uruzgan Province.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f224790c819099ceb7c7ac8d00f6 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82772400881908d6b11b60a1443bb completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:09 p.m.