Triple

T12354324
Position Surface form Disambiguated ID Type / Status
Subject Kyustendil Province E294568 entity
Predicate hasTown P847 FINISHED
Object Dupnitsa E430944 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: Dupnitsa | Statement: [Kyustendil Province, hasTown, Dupnitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dupnitsa
Context triple: [Kyustendil Province, hasTown, Dupnitsa]
  • A. Dupnitsa chosen
    Dupnitsa is a town in southwestern Bulgaria known as a regional center near the Osogovo Mountains, with historical roots and access to mountain tourism and outdoor activities.
  • B. Karmanovo
    Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
  • C. Tsarevo
    Tsarevo is a coastal town and popular seaside resort on the Black Sea in southeastern Bulgaria.
  • D. Pliska
    Pliska was the first capital city of the early medieval First Bulgarian Empire, serving as its political and administrative center.
  • E. Černilov
    Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b90779881909893d1e6877ce567 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:54 p.m.