Triple

T32003091
Position Surface form Disambiguated ID Type / Status
Subject Sălaj County E817185 entity
Predicate crossedByRiver P225 FINISHED
Object Barcău River
The Barcău River is a tributary of the Crișul Repede in northwestern Romania and eastern Hungary, flowing through several counties and settlements before joining the larger river system.
E2117743 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: Barcău River | Statement: [Sălaj County, crossedByRiver, Barcău 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: Barcău River
Triple: [Sălaj County, crossedByRiver, Barcău River]
Generated description
The Barcău River is a tributary of the Crișul Repede in northwestern Romania and eastern Hungary, flowing through several counties and settlements before joining the larger river system.

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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b3fdd830819089e39d9112ea771f completed May 3, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3786b3c5ac8190b371ef82ae6e1de1 completed June 21, 2026, 6:37 a.m.
NEDg Description generation batch_6a378ff276908190970b80e1ff5dc26b completed June 21, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a37909317608190ab11d7b9d5175762 completed June 21, 2026, 7:19 a.m.
Created at: May 1, 2026, 12:14 a.m.