Triple

T12402171
Position Surface form Disambiguated ID Type / Status
Subject Blagoevgrad Province E296283 entity
Predicate containsTown P847 FINISHED
Object Razlog E496971 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: Razlog | Statement: [Blagoevgrad Province, containsTown, Razlog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Razlog
Context triple: [Blagoevgrad Province, containsTown, Razlog]
  • A. Razlog chosen
    Razlog is a small Bulgarian town nestled in a mountain valley near the popular ski resort of Bansko, known for its scenic surroundings and traditional architecture.
  • B. Razov
    Razov is a surname most notably associated with Ante Razov, a former American professional soccer player and prolific Major League Soccer goal scorer.
  • C. Rakka
    Rakka is an alternative spelling of Raqqa, a historic city in northern Syria that lies on the Euphrates River and gained international attention as a former stronghold of ISIS.
  • D. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • E. Ragalna
    Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63484c6808190a71d24f8ee3a7e15 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.