Triple

T2744105
Position Surface form Disambiguated ID Type / Status
Subject Struma E60823 entity
Predicate passesNear P416 FINISHED
Object Blagoevgrad E21220 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: Blagoevgrad | Statement: [Struma, passesNear, Blagoevgrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blagoevgrad
Context triple: [Struma, passesNear, Blagoevgrad]
  • A. Blagoevgrad chosen
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • B. Tarnovo
    Tarnovo, often called Veliko Tarnovo, is a historic Bulgarian city famed as a medieval capital and cultural stronghold, known for its dramatic hillside setting and well-preserved architectural heritage.
  • 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. Burgas
    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.
  • E. 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.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb32ef74819096ae399d16d4f31d completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc03bd03881908747845aede53f83 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.