Triple

T3525943
Position Surface form Disambiguated ID Type / Status
Subject Drava E74537 entity
Predicate hasTributary P415 FINISHED
Object Karašica
Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
 E370014 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: Karašica | Statement: [Drava, hasTributary, Karašica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karašica
Context triple: [Drava, hasTributary, Karašica]
  • 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. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • C. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • D. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • E. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • 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: Karašica
Triple: [Drava, hasTributary, Karašica]
Generated description
Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karašica
Target entity description: Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • 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. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • C. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • D. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • E. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6a8d0c819094d38b9c47fb67b4 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8421b481908bda2b4f45714605 completed March 13, 2026, 7:23 a.m.
NEDg Description generation batch_69b3bcd930a881908156e7857af4d059 completed March 13, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69b3f68512a08190b88b283c760ed3d2 completed March 13, 2026, 11:35 a.m.
Created at: March 8, 2026, 3:19 p.m.