Triple

T7255713
Position Surface form Disambiguated ID Type / Status
Subject Black Sea coast E157716 entity
Predicate hasCity P316 FINISHED
Object Burgas E41854 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: Burgas | Statement: [Black Sea coast, hasCity, Burgas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgas
Context triple: [Black Sea coast, hasCity, Burgas]
  • A. Burgas chosen
    Burgas is a major Bulgarian city and industrial center on the Black Sea coast, known for its large seaport and role as a key maritime and logistics hub in the region.
  • B. Shumen
    Shumen is a city in northeastern Bulgaria known for its historical significance, including nearby medieval capitals and the Monument to 1300 Years of Bulgaria.
  • C. Dobrich
    Dobrich is a city in northeastern Bulgaria that serves as the administrative and economic center of the Dobrich Province in the historical region of Southern Dobruja.
  • D. Plovdiv
    Plovdiv is Bulgaria’s second-largest city and one of Europe’s oldest continuously inhabited urban centers, known for its Roman amphitheater, Old Town, and rich cultural heritage.
  • E. Pazardzhik
    Pazardzhik is a city in southern Bulgaria known as a regional economic and cultural center in the Upper Thracian Plain.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa0c76c81909fe43ed6938a13ea completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802a61718819088cc2d37818af4ca completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:56 p.m.