Triple

T5519352
Position Surface form Disambiguated ID Type / Status
Subject Cetinje E144765 entity
Predicate twinTown P1072 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: [Cetinje, twinTown, Ohrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohrid
Context triple: [Cetinje, twinTown, 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. Berane
    Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
  • C. Dojran
    Dojran is a town in southeastern North Macedonia near the Greek border, known for its proximity to Lake Dojran and its historical significance dating back to ancient and Ottoman times.
  • D. Gjakova
    Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
  • E. 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.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.