Triple

T25699172
Position Surface form Disambiguated ID Type / Status
Subject Buzău E644408 entity
Predicate locatedOnRiver P165 FINISHED
Object Buzău River
The Buzău River is a significant watercourse in eastern Romania that flows through the Carpathian Mountains and the historical region of Muntenia before joining the Siret River.
E1721399 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: Buzău River | Statement: [Buzău, locatedOnRiver, Buzău River]
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: Buzău River
Triple: [Buzău, locatedOnRiver, Buzău River]
Generated description
The Buzău River is a significant watercourse in eastern Romania that flows through the Carpathian Mountains and the historical region of Muntenia before joining the Siret River.

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_69e77e82c9bc8190893090b2f6c64f1d completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fbc7c004819088a2450a4749c5e0 completed May 2, 2026, 1:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a2f81a08190a7c63836d79d038c completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119b68c76881908cfa0df6ce3df53c completed May 23, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_6a119c7d5eac8190ae6fbb97bf64b472 completed May 23, 2026, 12:24 p.m.
Created at: April 21, 2026, 8:42 p.m.