Triple

T5023524
Position Surface form Disambiguated ID Type / Status
Subject Smolikas E112914 entity
Predicate nearTown P2064 FINISHED
Object Konitsa E324953 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: Konitsa | Statement: [Smolikas, nearTown, Konitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konitsa
Context triple: [Smolikas, nearTown, Konitsa]
  • A. Konitsa chosen
    Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
  • B. Litochoro
    Litochoro is a Greek town situated at the foot of Mount Olympus, known as a popular base for hiking and exploring the surrounding national park.
  • C. Komotini
    Komotini is a city in northeastern Greece that serves as the capital of the Rhodope regional unit and a key administrative and cultural center of Western Thrace.
  • D. Kiotari
    Kiotari is a coastal resort village on the southeastern shore of Rhodes in Greece, known for its long beach, modern hotels, and relaxed holiday atmosphere.
  • E. Karpenisi
    Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
  • 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_69bd73670578819099a56112950708a8 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9286bb28819095ca0ec858061419 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.