Triple

T14618681
Position Surface form Disambiguated ID Type / Status
Subject Veliko Tarnovo Province E343155 entity
Predicate containsTown P847 FINISHED
Object Zlataritsa
Zlataritsa is a small town in north-central Bulgaria known for its location in the Veliko Tarnovo region and its surrounding natural landscapes.
E1110808 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: Zlataritsa | Statement: [Veliko Tarnovo Province, containsTown, Zlataritsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zlataritsa
Context triple: [Veliko Tarnovo Province, containsTown, Zlataritsa]
  • A. Zlatitsa
    Zlatitsa is a small historic town in western Bulgaria, situated in a valley of the Balkan Mountains and known for its mining and metallurgical industries.
  • B. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • C. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • 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: Zlataritsa
Triple: [Veliko Tarnovo Province, containsTown, Zlataritsa]
Generated description
Zlataritsa is a small town in north-central Bulgaria known for its location in the Veliko Tarnovo region and its surrounding natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zlataritsa
Target entity description: Zlataritsa is a small town in north-central Bulgaria known for its location in the Veliko Tarnovo region and its surrounding natural landscapes.
  • A. Zlatitsa
    Zlatitsa is a small historic town in western Bulgaria, situated in a valley of the Balkan Mountains and known for its mining and metallurgical industries.
  • B. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • C. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda924c7308190931c03fbac57b0bf completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb234bc1c8190a85c802dfcfa7909 completed May 8, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69fdb36bd50c8190a8af992fe4b12bb6 completed May 8, 2026, 9:57 a.m.
Created at: April 10, 2026, 1:25 a.m.