Triple

T19408007
Position Surface form Disambiguated ID Type / Status
Subject Chepelare River E485512 entity
Predicate passesThrough P225 FINISHED
Object Asenovgrad 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: Asenovgrad | Statement: [Chepelare River, passesThrough, Asenovgrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asenovgrad
Context triple: [Chepelare River, passesThrough, Asenovgrad]
  • A. Asenovgrad chosen
    Asenovgrad is a town in southern Bulgaria known as a gateway to the Rhodope Mountains and a regional center rich in historical and religious landmarks.
  • B. Targovishte
    Targovishte is a town in northeastern Bulgaria known as an administrative and economic center with historical roots dating back to the Ottoman period.
  • C. Sliven
    Sliven is a city in eastern Bulgaria known for its textile industry, historic role in Bulgarian national revival, and location near the eastern Balkan Mountains.
  • D. 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.
  • E. 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.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af331108190b6b25ef8f386826e completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:36 p.m.