Triple

T769730
Position Surface form Disambiguated ID Type / Status
Subject Balkan Front E16253 entity
Predicate notableCity P2813 FINISHED
Object Salonika E23830 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: Salonika | Statement: [Balkan Front, notableCity, Salonika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salonika
Context triple: [Balkan Front, notableCity, Salonika]
  • A. Salonika chosen
    Salonika, historically known as Thessaloniki, is a major port city in northern Greece that has long served as a key commercial and cultural crossroads of the Balkans and the eastern Mediterranean.
  • 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. Ioannina
    Ioannina is a historic city in northwestern Greece known for its long-standing Romaniote Jewish community, medieval castle, and lakeside setting.
  • D. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • E. Piraeus
    Piraeus is the main port of Athens and one of the largest and busiest seaports in the Mediterranean, serving as a key hub for Greek and international maritime trade and passenger transport.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a70376988190be2826259f5281ab completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a93392bc448190a7920c86727c018c completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:37 p.m.