Triple

T7115046
Position Surface form Disambiguated ID Type / Status
Subject Borovets resort E165796 entity
Predicate locatedNear P294 FINISHED
Object Samokov E165798 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: Samokov | Statement: [Borovets resort, locatedNear, Samokov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samokov
Context triple: [Borovets resort, locatedNear, Samokov]
  • A. Samokov chosen
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • B. Dupnitsa
    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.
  • C. Konakovo
    Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
  • D. Balabanovo
    Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
  • E. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5f0dab8819092103aefcaa1f9c2 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbfc7a08190ab07f3d65aa79f16 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.