Triple

T4151718
Position Surface form Disambiguated ID Type / Status
Subject Vulko Chervenkov E89920 entity
Predicate placeOfBirth P1 FINISHED
Object 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.
E419816 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: Zlatitsa | Statement: [Vulko Chervenkov, placeOfBirth, Zlatitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zlatitsa
Context triple: [Vulko Chervenkov, placeOfBirth, Zlatitsa]
  • A. Kovachevtsi
    Kovachevtsi is a small village in western Bulgaria, notable as the birthplace of communist leader Georgi Dimitrov.
  • B. Blagoevgradska Bistritsa
    Blagoevgradska Bistritsa is a river in southwestern Bulgaria that flows through the city of Blagoevgrad before joining the Struma River.
  • C. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • D. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • E. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • 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: Zlatitsa
Triple: [Vulko Chervenkov, placeOfBirth, Zlatitsa]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zlatitsa
Target entity description: 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.
  • A. Kovachevtsi
    Kovachevtsi is a small village in western Bulgaria, notable as the birthplace of communist leader Georgi Dimitrov.
  • B. Blagoevgradska Bistritsa
    Blagoevgradska Bistritsa is a river in southwestern Bulgaria that flows through the city of Blagoevgrad before joining the Struma River.
  • C. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • D. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • E. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0276363081908e4d17684291b547 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589e73f1c8190ac1c09201c7844a8 completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58b977eb88190ae56f4dedb7147e6 completed March 14, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69b58c18fa24819099f122b3a79d1065 completed March 14, 2026, 4:26 p.m.
Created at: March 9, 2026, 3:44 p.m.