Triple

T17625680
Position Surface form Disambiguated ID Type / Status
Subject Dimitrovgrad E429833 entity
Predicate railConnection P848 FINISHED
Object Haskovo NE NERFINISHED

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: Haskovo | Statement: [Dimitrovgrad, railConnection, Haskovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haskovo
Context triple: [Dimitrovgrad, railConnection, Haskovo]
  • A. Yambol
    Yambol is a city in southeastern Bulgaria known for its location on the Tundzha River and its historical and cultural significance in the region.
  • B. Stara Zagora
    Stara Zagora is one of Bulgaria’s oldest cities, known for its rich history, Roman ruins, and role as an important economic and cultural center in central Bulgaria.
  • C. Blagoevgrad
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • D. Shumen
    Shumen is a city in northeastern Bulgaria known for its historical significance, including nearby medieval capitals and the Monument to 1300 Years of Bulgaria.
  • E. Haskovo Province chosen
    Haskovo Province is an administrative region in southern Bulgaria known for its agricultural landscape, thermal springs, and the city of Haskovo as its capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbc62e88190b9757dc7c52d7fee completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.