Triple

T6925276
Position Surface form Disambiguated ID Type / Status
Subject Drina E160289 entity
Predicate sourceRiver P25636 FINISHED
Object Piva
Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
 E632781 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: Piva | Statement: [Drina, sourceRiver, Piva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piva
Context triple: [Drina, sourceRiver, Piva]
  • A. Žepa
    Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
  • B. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • C. Sedini
    Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
  • D. Milot
    Milot is a historic town in northern Haiti best known as the site of the Sans-Souci Palace and near the Citadelle Laferrière, key monuments of Haiti’s post-independence era.
  • E. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • 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: Piva
Triple: [Drina, sourceRiver, Piva]
Generated description
Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piva
Target entity description: Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
  • A. Žepa
    Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
  • B. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • C. Sedini
    Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
  • D. Milot
    Milot is a historic town in northern Haiti best known as the site of the Sans-Souci Palace and near the Citadelle Laferrière, key monuments of Haiti’s post-independence era.
  • E. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76182c848819081b973683bdd235f completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c76354b73081908e4f2482bdefb75b completed March 28, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69c763d604148190a3004ab99c79834f completed March 28, 2026, 5:15 a.m.
Created at: March 27, 2026, 2:26 p.m.