Triple

T11161869
Position Surface form Disambiguated ID Type / Status
Subject Yantra River E264055 entity
Predicate flowsThrough P225 FINISHED
Object Gorna Oryahovitsa E340234 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: Gorna Oryahovitsa | Statement: [Yantra River, flowsThrough, Gorna Oryahovitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorna Oryahovitsa
Context triple: [Yantra River, flowsThrough, Gorna Oryahovitsa]
  • A. Gorna Oryahovitsa chosen
    Gorna Oryahovitsa is a town in northern Bulgaria known as a regional transport hub and industrial center near the city of Veliko Tarnovo.
  • B. Gorna Dzhumaya
    Gorna Dzhumaya is the former name of the Bulgarian city now known as Blagoevgrad, a regional center in southwestern Bulgaria.
  • C. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • D. Kovachevtsi
    Kovachevtsi is a small village in western Bulgaria, notable as the birthplace of communist leader Georgi Dimitrov.
  • E. Devnya
    Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46375c61c8190939401f790cf1593 completed April 19, 2026, 5:09 a.m.
Created at: April 8, 2026, 9:29 p.m.