Triple

T3921115
Position Surface form Disambiguated ID Type / Status
Subject Lake Ohrid E88960 entity
Predicate locatedNear P294 FINISHED
Object city of Ohrid E105259 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: city of Ohrid | Statement: [Lake Ohrid, locatedNear, city of Ohrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Ohrid
Context triple: [Lake Ohrid, locatedNear, city of Ohrid]
  • A. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • B. Ohrid chosen
    Ohrid is a historic lakeside city in North Macedonia renowned as an early Slavic Christian and cultural center, famed for its medieval churches and monasteries.
  • C. 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.
  • D. Skopje
    Skopje is the capital and largest city of North Macedonia, known for its historic Ottoman and Byzantine heritage alongside extensive modern redevelopment.
  • E. Gabrovo
    Gabrovo is a town in central Bulgaria known for its humor and satire traditions, as well as its historical role in the country’s industrial development.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5c28b08190b32ce81e5bd8f586 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5286c807481908a67471da777b264 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.