Triple

T19840370
Position Surface form Disambiguated ID Type / Status
Subject Plovdiv Province E476709 entity
Predicate contains P35 FINISHED
Object Parvomay
Parvomay is a small town and municipality in southern Bulgaria known for its agricultural economy and location within Plovdiv Province.
E1398755 NE FINISHED

How this triple was built (4 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: Parvomay | Statement: [Plovdiv Province, contains, Parvomay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parvomay
Context triple: [Plovdiv Province, contains, Parvomay]
  • A. 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.
  • B. Orlovets
    Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
  • C. Barsheni
    Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
  • D. Lypovets
    Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
  • E. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parvomay
Triple: [Plovdiv Province, contains, Parvomay]
Generated description
Parvomay is a small town and municipality in southern Bulgaria known for its agricultural economy and location within Plovdiv Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parvomay
Target entity description: Parvomay is a small town and municipality in southern Bulgaria known for its agricultural economy and location within Plovdiv Province.
  • A. 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.
  • B. Orlovets
    Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
  • C. Barsheni
    Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
  • D. Lypovets
    Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
  • E. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • F. None of above. chosen

Provenance (5 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d438c0208190a6d5b6781b99d37e completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8082bfc81909db58a0477c4d55f completed May 16, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8744bdc8190adfcc428ff55e790 completed May 16, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:50 p.m.