Triple

T25141148
Position Surface form Disambiguated ID Type / Status
Subject Rzav E629804 entity
Predicate partOf P40 FINISHED
Object Drina River basin
The Drina River basin is a major drainage area in the western Balkans, encompassing the river’s extensive network of tributaries across Bosnia and Herzegovina, Serbia, and Montenegro.
E1783432 NE FINISHED

How this triple was built (2 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: Drina River basin | Statement: [Rzav, partOf, Drina River basin]
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: Drina River basin
Triple: [Rzav, partOf, Drina River basin]
Generated description
The Drina River basin is a major drainage area in the western Balkans, encompassing the river’s extensive network of tributaries across Bosnia and Herzegovina, Serbia, and Montenegro.

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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46848ed708190b72d8d7cb252e502 completed May 1, 2026, 8:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12da5bf38481908d247051af42bb60 completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 18, 2026, 6:29 a.m.