Triple

T14670545
Position Surface form Disambiguated ID Type / Status
Subject Ruse Province E344499 entity
Predicate hasTown P847 FINISHED
Object Slivo Pole
Slivo Pole is a small town in northeastern Bulgaria that serves as a local administrative and community center within Ruse Province.
E1113050 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: Slivo Pole | Statement: [Ruse Province, hasTown, Slivo Pole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slivo Pole
Context triple: [Ruse Province, hasTown, Slivo Pole]
  • A. Ostružnica
    Ostružnica is a suburban neighborhood of Belgrade, Serbia, situated along the Sava River and known for its strategic transport links, including the Ostružnica Bridge.
  • B. Topola
    Topola is a historic town in central Serbia known for its association with the Serbian royal family and the Oplenac complex of royal mausoleums and churches.
  • C. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • D. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • E. Lipova
    Lipova is a small historic town in western Romania known for its medieval fortress and scenic location along the Mureș River.
  • 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: Slivo Pole
Triple: [Ruse Province, hasTown, Slivo Pole]
Generated description
Slivo Pole is a small town in northeastern Bulgaria that serves as a local administrative and community center within Ruse Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Slivo Pole
Target entity description: Slivo Pole is a small town in northeastern Bulgaria that serves as a local administrative and community center within Ruse Province.
  • A. Ostružnica
    Ostružnica is a suburban neighborhood of Belgrade, Serbia, situated along the Sava River and known for its strategic transport links, including the Ostružnica Bridge.
  • B. Topola
    Topola is a historic town in central Serbia known for its association with the Serbian royal family and the Oplenac complex of royal mausoleums and churches.
  • C. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • D. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • E. Lipova
    Lipova is a small historic town in western Romania known for its medieval fortress and scenic location along the Mureș River.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ef2908190b189ced65eec434a completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde177ced48190a448cbee1f4c75bf completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde249f1288190ac2e53c26ae7968b completed May 8, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_69fde2ec348c8190bf5d6f5993d3246c completed May 8, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:27 a.m.