Triple

T782059
Position Surface form Disambiguated ID Type / Status
Subject Epirus E16518 entity
Predicate containsCity P294 FINISHED
Object Ioannina E85956 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: Ioannina | Statement: [Epirus, containsCity, Ioannina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ioannina
Context triple: [Epirus, containsCity, Ioannina]
  • A. Ioannina chosen
    Ioannina is a historic city in northwestern Greece known for its long-standing Romaniote Jewish community, medieval castle, and lakeside setting.
  • B. Kavala
    Kavala is a historic coastal city in northern Greece known for its strategic harbor, Ottoman and Byzantine landmarks, and role as a major gateway to the Aegean.
  • C. Karditsa
    Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
  • D. Patras
    Patras is a major Greek city in the northern Peloponnese, known as a key commercial and passenger port linking western Greece with the Ionian Islands and Italy.
  • E. Volos
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a765ba688190ab328bb159583077 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f360208190affd6282a1040d9a completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:37 p.m.