Triple

T21844520
Position Surface form Disambiguated ID Type / Status
Subject Shumen Province E539340 entity
Predicate hasTown P847 FINISHED
Object Kaspichan
Kaspichan is a small town in northeastern Bulgaria known as a local transport and administrative center within Shumen Province.
 E1504918 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: Kaspichan | Statement: [Shumen Province, hasTown, Kaspichan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaspichan
Context triple: [Shumen Province, hasTown, Kaspichan]
  • A. Kharakhoja
    Kharakhoja is an ancient oasis city in present-day Xinjiang, China, historically known as a key Silk Road trading and cultural center.
  • B. Kochkor
    Kochkor is a small town in central Kyrgyzstan known as a gateway to nearby alpine lakes and a hub for community-based tourism in the Naryn Region.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Kasplya
    Kasplya is a river in Eastern Europe that serves as a tributary of the Western Dvina (Daugava) River.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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: Kaspichan
Triple: [Shumen Province, hasTown, Kaspichan]
Generated description
Kaspichan is a small town in northeastern Bulgaria known as a local transport and administrative center within Shumen Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaspichan
Target entity description: Kaspichan is a small town in northeastern Bulgaria known as a local transport and administrative center within Shumen Province.
  • A. Kharakhoja
    Kharakhoja is an ancient oasis city in present-day Xinjiang, China, historically known as a key Silk Road trading and cultural center.
  • B. Kochkor
    Kochkor is a small town in central Kyrgyzstan known as a gateway to nearby alpine lakes and a hub for community-based tourism in the Naryn Region.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Kasplya
    Kasplya is a river in Eastern Europe that serves as a tributary of the Western Dvina (Daugava) River.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd5248f08190ba208512eafbe7ad completed April 28, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bc8b0fc8190a1ce537e302a3458 completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4cbcf4f88190b62e37214f00c496 completed May 17, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4d213ea48190b170e28b10a0c92f completed May 17, 2026, 11:20 p.m.
Created at: April 16, 2026, 6:55 p.m.