Triple

T5024905
Position Surface form Disambiguated ID Type / Status
Subject North Aegean region E112950 entity
Predicate containsIsland P970 FINISHED
Object Fournoi Korseon E178236 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: Fournoi Korseon | Statement: [North Aegean region, containsIsland, Fournoi Korseon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fournoi Korseon
Context triple: [North Aegean region, containsIsland, Fournoi Korseon]
  • A. Fournoi Korseon chosen
    Fournoi Korseon is a small Aegean island complex in Greece known for its traditional fishing villages, quiet beaches, and relatively untouched, authentic atmosphere.
  • B. Koreiz
    Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
  • C. Thaton Kingdom
    Thaton Kingdom was an ancient Mon kingdom in Lower Burma known as a major center of Theravada Buddhism and maritime trade in Southeast Asia.
  • D. Seogwipo
    Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
  • E. Neryungri
    Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736a0f8c819091d06275954329e9 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be928919c08190be76549e1a41f61e completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.