Triple

T24537407
Position Surface form Disambiguated ID Type / Status
Subject Llobregat River E606987 entity
Predicate hasTributary P415 FINISHED
Object Rubí River
The Rubí River is a secondary watercourse in Catalonia, Spain, that flows through the Vallès region before joining the Llobregat River.
 E1688932 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: Rubí River | Statement: [Llobregat River, hasTributary, Rubí 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: Rubí River
Triple: [Llobregat River, hasTributary, Rubí River]
Generated description
The Rubí River is a secondary watercourse in Catalonia, Spain, that flows through the Vallès region before joining the Llobregat 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_69e2c4c90c848190b23c4303620dcaaf completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8a09c7c81908a7e5d63623e8e43 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c1030c34819094306147932a158f completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c1a80a0081909081a3ae1b22ebf3 completed May 22, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_6a10c214cc5c8190a7f5155cf346891a completed May 22, 2026, 8:52 p.m.
Created at: April 18, 2026, 2:26 a.m.