Triple

T30206927
Position Surface form Disambiguated ID Type / Status
Subject Ripoll E767950 entity
Predicate locatedInRiverBasin P18951 FINISHED
Object Freser River
The Freser River is a river in the eastern Pyrenees of Catalonia, Spain, known for flowing through the Ripollès region and contributing to the Ter River basin.
 E2294684 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: Freser River | Statement: [Ripoll, locatedInRiverBasin, Freser 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: Freser River
Triple: [Ripoll, locatedInRiverBasin, Freser River]
Generated description
The Freser River is a river in the eastern Pyrenees of Catalonia, Spain, known for flowing through the Ripollès region and contributing to the Ter River basin.

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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67fc9422881908cc8470f0a7b9ccf completed May 2, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c0e771ab88190bd8be32449fef3d6 completed Aug. 12, 2026, 6:11 a.m.
NEDg Description generation batch_6a7c0edf6da0819090bb81691bbf9d60 completed Aug. 12, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a7c0f361d8c81908ad111eb6d807369 completed Aug. 12, 2026, 6:14 a.m.
Created at: April 29, 2026, 7:31 p.m.