Triple

T6804012
Position Surface form Disambiguated ID Type / Status
Subject Midžor E156254 entity
Predicate accessRouteFrom P6174 FINISHED
Object Topli Do (Serbia)
Topli Do is a remote mountain village in southeastern Serbia, known as a starting point for hiking routes toward the Stara Planina peak Midžor and for its preserved traditional rural character.
 E620279 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: Topli Do (Serbia) | Statement: [Midžor, accessRouteFrom, Topli Do (Serbia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Topli Do (Serbia)
Context triple: [Midžor, accessRouteFrom, Topli Do (Serbia)]
  • A. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • B. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • C. Raška
    Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
  • D. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • E. Perovo
    Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
  • 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: Topli Do (Serbia)
Triple: [Midžor, accessRouteFrom, Topli Do (Serbia)]
Generated description
Topli Do is a remote mountain village in southeastern Serbia, known as a starting point for hiking routes toward the Stara Planina peak Midžor and for its preserved traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Topli Do (Serbia)
Target entity description: Topli Do is a remote mountain village in southeastern Serbia, known as a starting point for hiking routes toward the Stara Planina peak Midžor and for its preserved traditional rural character.
  • A. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • B. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • C. Raška
    Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
  • D. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • E. Perovo
    Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e8d7888190a837620967a150e3 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9da0ac8190878799d4780f9b28 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b88b27c8190b803f0e9f6402c44 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c95299c8190b149082ede7da88c completed March 28, 2026, 12:11 a.m.
Created at: March 27, 2026, 2:16 p.m.