Triple

T15715593
Position Surface form Disambiguated ID Type / Status
Subject West Morava E380950 entity
Predicate flowsThrough P225 FINISHED
Object Trstenik
Trstenik is a town in central Serbia known for its location along the West Morava River and its role as a local industrial and cultural center.
 E1172091 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: Trstenik | Statement: [West Morava, flowsThrough, Trstenik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trstenik
Context triple: [West Morava, flowsThrough, Trstenik]
  • A. Trebnje
    Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
  • B. Vrhnika
    Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
  • C. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • D. Vrčeň
    Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
  • E. Grintovec
    Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
  • 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: Trstenik
Triple: [West Morava, flowsThrough, Trstenik]
Generated description
Trstenik is a town in central Serbia known for its location along the West Morava River and its role as a local industrial and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trstenik
Target entity description: Trstenik is a town in central Serbia known for its location along the West Morava River and its role as a local industrial and cultural center.
  • A. Trebnje
    Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
  • B. Vrhnika
    Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
  • C. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • D. Vrčeň
    Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
  • E. Grintovec
    Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7581302c8190918266f04bcf2231 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff763d40348190bf102da746420390 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76ec45948190bee47609c0d2fd10 completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.