Triple

T15715605
Position Surface form Disambiguated ID Type / Status
Subject West Morava E380950 entity
Predicate hasLeftTributary P415 FINISHED
Object Gruža
Gruža is a river in central Serbia that flows through the Šumadija region before joining the West Morava.
 E1172094 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: Gruža | Statement: [West Morava, hasLeftTributary, Gruža]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gruža
Context triple: [West Morava, hasLeftTributary, Gruža]
  • A. Nerežišća
    Nerežišća is a historic inland village on the Croatian island of Brač, known for its traditional stone architecture and central location.
  • B. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • C. Gusar
    Gusar is a mountainous town and popular tourist destination in northeastern Azerbaijan, known as a gateway to the Greater Caucasus and nearby ski resorts.
  • D. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • E. 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.
  • 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: Gruža
Triple: [West Morava, hasLeftTributary, Gruža]
Generated description
Gruža is a river in central Serbia that flows through the Šumadija region before joining the West Morava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gruža
Target entity description: Gruža is a river in central Serbia that flows through the Šumadija region before joining the West Morava.
  • A. Nerežišća
    Nerežišća is a historic inland village on the Croatian island of Brač, known for its traditional stone architecture and central location.
  • B. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • C. Gusar
    Gusar is a mountainous town and popular tourist destination in northeastern Azerbaijan, known as a gateway to the Greater Caucasus and nearby ski resorts.
  • D. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • E. 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.
  • 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.