Triple

T15715598
Position Surface form Disambiguated ID Type / Status
Subject West Morava E380950 entity
Predicate formedByConfluenceOf P402 FINISHED
Object Đetinja
Đetinja is a river in western Serbia that flows through the city of Užice and serves as one of the headwaters of the West Morava.
 E1172092 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: Đetinja | Statement: [West Morava, formedByConfluenceOf, Đetinja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Đetinja
Context triple: [West Morava, formedByConfluenceOf, Đetinja]
  • A. Djugu
    Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
  • B. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • C. Dušica
    Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
  • D. Dajla
    Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
  • E. Tjenu
    Tjenu is an ancient Egyptian city better known by its Greek name Thinis, traditionally regarded as the early royal capital of unified Egypt.
  • 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: Đetinja
Triple: [West Morava, formedByConfluenceOf, Đetinja]
Generated description
Đetinja is a river in western Serbia that flows through the city of Užice and serves as one of the headwaters of the West Morava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Đetinja
Target entity description: Đetinja is a river in western Serbia that flows through the city of Užice and serves as one of the headwaters of the West Morava.
  • A. Djugu
    Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
  • B. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • C. Dušica
    Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
  • D. Dajla
    Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
  • E. Tjenu
    Tjenu is an ancient Egyptian city better known by its Greek name Thinis, traditionally regarded as the early royal capital of unified Egypt.
  • 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.