Triple

T14504865
Position Surface form Disambiguated ID Type / Status
Subject Yantra Valley E340238 entity
Predicate contains P35 FINISHED
Object Gabrovo E343154 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: Gabrovo | Statement: [Yantra Valley, contains, Gabrovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabrovo
Context triple: [Yantra Valley, contains, Gabrovo]
  • A. Gabrovo chosen
    Gabrovo is a town in central Bulgaria known for its humor and satire traditions, as well as its historical role in the country’s industrial development.
  • 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. Asenovgrad
    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.
  • E. Velbazhd
    Velbazhd is the historical name of the Bulgarian town of Kyustendil, known as the site of a major medieval battle between Serbian and Bulgarian forces.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 1:21 a.m.