Triple

T2763415
Position Surface form Disambiguated ID Type / Status
Subject Second Bulgarian Empire E61275 entity
Predicate majorCity P316 FINISHED
Object 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: Ohrid | Statement: [Second Bulgarian Empire, majorCity, Ohrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohrid
Context triple: [Second Bulgarian Empire, majorCity, Ohrid]
  • A. 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.
  • B. Gjakova
    Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
  • C. Niš
    Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
  • D. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • E. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5291d88190a7347af947a2a564 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04630b8819081cd8ddac1d42184 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.