Triple

T8686162
Position Surface form Disambiguated ID Type / Status
Subject Varna Archaeological Museum E206164 entity
Predicate locatedIn P40 FINISHED
Object Varna Province E208470 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: Varna Province | Statement: [Varna Archaeological Museum, locatedIn, Varna Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varna Province
Context triple: [Varna Archaeological Museum, locatedIn, Varna Province]
  • A. Varna Province chosen
    Varna Province is an administrative region in northeastern Bulgaria centered around the Black Sea port city of Varna.
  • B. Dobrich Province
    Dobrich Province is an administrative region in northeastern Bulgaria known for its agricultural landscape and proximity to the Black Sea coast.
  • C. Shumen Province
    Shumen Province is an administrative region in northeastern Bulgaria known for its historical cities and archaeological sites, including the area around the early medieval capital Pliska.
  • D. Pleven Province
    Pleven Province is an administrative region in northern Bulgaria, known for its capital city Pleven and its location along the Danube River.
  • E. Vratsa Province
    Vratsa Province is a northwestern administrative region of Bulgaria known for its mountainous landscapes, including parts of the Balkan Mountains, and the town of Vratsa as its capital.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aec1f8c8190a9ab1a73c2dbcd3c completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b6d2ec81909765ea1a368b090d completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:33 p.m.