Triple

T16492222
Position Surface form Disambiguated ID Type / Status
Subject Boris Trajkovski E400594 entity
Predicate placeOfBirth P1 FINISHED
Object Strumica E979853 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: Strumica | Statement: [Boris Trajkovski, placeOfBirth, Strumica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strumica
Context triple: [Boris Trajkovski, placeOfBirth, Strumica]
  • A. Strumica chosen
    Strumica is a city in southeastern North Macedonia known for its rich history, cultural festivals, and proximity to the Strumica River and surrounding mountains.
  • B. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • C. Monastir
    Monastir is a coastal city in central-eastern Tunisia, known as a historic port and the birthplace and burial place of the country’s first president, Habib Bourguiba.
  • D. Monastir
    Monastir is a small town and municipality in southern Sardinia, Italy, known for its agricultural activities and proximity to the regional capital Cagliari.
  • E. 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.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e380bc81908452f6e8666f23ad completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:13 a.m.