Triple

T20368146
Position Surface form Disambiguated ID Type / Status
Subject Gotse Delchev E496970 entity
Predicate formerName P65 FINISHED
Object Nevrokop
Nevrokop is the former name of the Bulgarian town now known as Gotse Delchev, located in the southwestern part of Bulgaria.
 E1426485 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: Nevrokop | Statement: [Gotse Delchev, formerName, Nevrokop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nevrokop
Context triple: [Gotse Delchev, formerName, Nevrokop]
  • A. Kirovakan
    Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
  • B. Volosko
    Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
  • C. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • D. Teteven
    Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
  • E. Kandıra
    Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
  • 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: Nevrokop
Triple: [Gotse Delchev, formerName, Nevrokop]
Generated description
Nevrokop is the former name of the Bulgarian town now known as Gotse Delchev, located in the southwestern part of Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nevrokop
Target entity description: Nevrokop is the former name of the Bulgarian town now known as Gotse Delchev, located in the southwestern part of Bulgaria.
  • A. Kirovakan
    Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
  • B. Volosko
    Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
  • C. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • D. Teteven
    Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
  • E. Kandıra
    Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08708d48c08190ac0ccbc910d4af4b completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:26 a.m.