Triple

T853419
Position Surface form Disambiguated ID Type / Status
Subject Ithaca, Greece E18436 entity
Predicate connectedByFerryTo P1831 FINISHED
Object Patras E79038 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: Patras | Statement: [Ithaca, Greece, connectedByFerryTo, Patras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patras
Context triple: [Ithaca, Greece, connectedByFerryTo, Patras]
  • A. Patras chosen
    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.
  • B. Volos
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • C. Grevena
    Grevena is a small city in northern Greece known for its mountainous surroundings, rich natural landscapes, and production of mushrooms and dairy products.
  • D. Nafplion
    Nafplion is a historic seaport town in the Peloponnese region of Greece that served as the first capital of the modern Greek state.
  • E. Ioannina
    Ioannina is a historic city in northwestern Greece known for its long-standing Romaniote Jewish community, medieval castle, and lakeside setting.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6eff89888190984c1be0a02f7295 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:39 p.m.