Triple

T7553675
Position Surface form Disambiguated ID Type / Status
Subject Morača E178602 entity
Predicate hasTributary P415 FINISHED
Object Cijevna
Cijevna is a river in Montenegro and Albania known for its scenic canyon and waterfalls before joining the Morača River near Podgorica.
 E672320 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: Cijevna | Statement: [Morača, hasTributary, Cijevna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cijevna
Context triple: [Morača, hasTributary, Cijevna]
  • A. Cisna
    Cisna is a small village in southeastern Poland’s Bieszczady Mountains, known as a popular base for hiking and tourism along the Main Beskid Trail.
  • B. Zihlkanal
    Zihlkanal is a man-made canal in western Switzerland that drains water from Lake Neuchâtel toward the Aare River system.
  • C. Kammersrohr
    Kammersrohr is a small municipality in the Swiss canton of Solothurn, known as one of the least populous communes in Switzerland.
  • D. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • E. Kanal
    "Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
  • 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: Cijevna
Triple: [Morača, hasTributary, Cijevna]
Generated description
Cijevna is a river in Montenegro and Albania known for its scenic canyon and waterfalls before joining the Morača River near Podgorica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cijevna
Target entity description: Cijevna is a river in Montenegro and Albania known for its scenic canyon and waterfalls before joining the Morača River near Podgorica.
  • A. Cisna
    Cisna is a small village in southeastern Poland’s Bieszczady Mountains, known as a popular base for hiking and tourism along the Main Beskid Trail.
  • B. Zihlkanal
    Zihlkanal is a man-made canal in western Switzerland that drains water from Lake Neuchâtel toward the Aare River system.
  • C. Kammersrohr
    Kammersrohr is a small municipality in the Swiss canton of Solothurn, known as one of the least populous communes in Switzerland.
  • D. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • E. Kanal
    "Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b8165481908285fc9697fe4c99 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f3602008190aa91cf55e43bdf30 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c85432ff8c81909f5ec837fd1f6743 completed March 28, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_69c854bbb9c08190bc151cdcef74ee54 completed March 28, 2026, 10:22 p.m.
Created at: March 27, 2026, 3:49 p.m.