Triple

T13566505
Position Surface form Disambiguated ID Type / Status
Subject Čačak E324048 entity
Predicate hasNearbyMountain P651 FINISHED
Object Kablar
Kablar is a prominent mountain in central Serbia, known for its scenic views over the West Morava River and proximity to the city of Čačak.
 E1046305 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: Kablar | Statement: [Čačak, hasNearbyMountain, Kablar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kablar
Context triple: [Čačak, hasNearbyMountain, Kablar]
  • A. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • B. "Kabnis"
    "Kabnis" is a dramatic, dialogue-driven section of Jean Toomer's modernist work *Cane* that explores race, identity, and spiritual crisis in the Jim Crow South.
  • C. Kadayan
    Kadayan is an alternative name for the Kedayan language, an Austronesian language spoken primarily in Brunei, Sabah, and parts of Sarawak.
  • D. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • E. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • 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: Kablar
Triple: [Čačak, hasNearbyMountain, Kablar]
Generated description
Kablar is a prominent mountain in central Serbia, known for its scenic views over the West Morava River and proximity to the city of Čačak.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kablar
Target entity description: Kablar is a prominent mountain in central Serbia, known for its scenic views over the West Morava River and proximity to the city of Čačak.
  • A. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • B. "Kabnis"
    "Kabnis" is a dramatic, dialogue-driven section of Jean Toomer's modernist work *Cane* that explores race, identity, and spiritual crisis in the Jim Crow South.
  • C. Kadayan
    Kadayan is an alternative name for the Kedayan language, an Austronesian language spoken primarily in Brunei, Sabah, and parts of Sarawak.
  • D. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • E. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75db031d88190983e3ccd054082bd completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75e4222d481909781824cefb69b49 completed May 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69f75e9fc1508190800291a16840a9a8 completed May 3, 2026, 2:41 p.m.
Created at: April 9, 2026, 9:48 p.m.