Triple

T23014140
Position Surface form Disambiguated ID Type / Status
Subject Pleven Province E572984 entity
Predicate hasSettlement P1068 FINISHED
Object Knezha
Knezha is a small town in northern Bulgaria known for its agricultural surroundings and location within the Danubian Plain.
E1567213 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: Knezha | Statement: [Pleven Province, hasSettlement, Knezha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knezha
Context triple: [Pleven Province, hasSettlement, Knezha]
  • A. Kazzia
    Kazzia was a top-class German-bred Thoroughbred racehorse best known for winning the 2002 1000 Guineas and Epsom Oaks for Godolphin.
  • B. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • C. Radoska
    Radoska is a village in south-central Poland located within the administrative district of Gmina Końskie in the Świętokrzyskie Voivodeship.
  • D. Zarité
    Zarité is the Haitian-born enslaved protagonist of Isabel Allende’s historical novel "Island Beneath the Sea."
  • E. Lojana
    Lojana is a term used to refer to a female inhabitant or native of the city of Loja in southern Ecuador.
  • 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: Knezha
Triple: [Pleven Province, hasSettlement, Knezha]
Generated description
Knezha is a small town in northern Bulgaria known for its agricultural surroundings and location within the Danubian Plain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Knezha
Target entity description: Knezha is a small town in northern Bulgaria known for its agricultural surroundings and location within the Danubian Plain.
  • A. Kazzia
    Kazzia was a top-class German-bred Thoroughbred racehorse best known for winning the 2002 1000 Guineas and Epsom Oaks for Godolphin.
  • B. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • C. Radoska
    Radoska is a village in south-central Poland located within the administrative district of Gmina Końskie in the Świętokrzyskie Voivodeship.
  • D. Zarité
    Zarité is the Haitian-born enslaved protagonist of Isabel Allende’s historical novel "Island Beneath the Sea."
  • E. Lojana
    Lojana is a term used to refer to a female inhabitant or native of the city of Loja in southern Ecuador.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2a81a7881908b46ee8b29640fc4 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bfcc5fc7081908787af96b3aa631f completed May 19, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0bfd5231248190a98dce79d7473902 completed May 19, 2026, 6:04 a.m.
Created at: April 17, 2026, 3:51 p.m.