Triple

T15609556
Position Surface form Disambiguated ID Type / Status
Subject Southern and Eastern Serbia region E375251 entity
Predicate containsCity P294 FINISHED
Object Blace
Blace is a small town and municipality in southern Serbia known for its agricultural production and rural character.
 E1166955 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: Blace | Statement: [Southern and Eastern Serbia region, containsCity, Blace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blace
Context triple: [Southern and Eastern Serbia region, containsCity, Blace]
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Blase
    Blase is a given name and surname, typically a variant spelling of Blaise, used in various European and English-speaking contexts.
  • C. Blaize
    Blaize is a given name and surname, typically considered a modern or alternative spelling of Blaise.
  • D. Marlohe
    Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
  • E. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • 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: Blace
Triple: [Southern and Eastern Serbia region, containsCity, Blace]
Generated description
Blace is a small town and municipality in southern Serbia known for its agricultural production and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blace
Target entity description: Blace is a small town and municipality in southern Serbia known for its agricultural production and rural character.
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Blase
    Blase is a given name and surname, typically a variant spelling of Blaise, used in various European and English-speaking contexts.
  • C. Blaize
    Blaize is a given name and surname, typically considered a modern or alternative spelling of Blaise.
  • D. Marlohe
    Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
  • E. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.