Triple

T33084332
Position Surface form Disambiguated ID Type / Status
Subject Poqueira Gorge E846596 entity
Predicate river P165 FINISHED
Object Río Poqueira
Río Poqueira is a mountain river in Spain’s Alpujarra region of the Sierra Nevada, known for carving the scenic Poqueira Gorge and flowing past the famous white villages of Pampaneira, Bubión, and Capileira.
E2288198 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: Río Poqueira | Statement: [Poqueira Gorge, river, Río Poqueira]
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: Río Poqueira
Triple: [Poqueira Gorge, river, Río Poqueira]
Generated description
Río Poqueira is a mountain river in Spain’s Alpujarra region of the Sierra Nevada, known for carving the scenic Poqueira Gorge and flowing past the famous white villages of Pampaneira, Bubión, and Capileira.

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_69f34954d46c8190a04a159cc5f99efd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d61fd2f48190a92684c567fcacb2 completed May 3, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5a71105a948190b165e63faf23f8b9 completed July 17, 2026, 6:14 p.m.
NEDg Description generation batch_6a5a71b936e0819097fb593915d91d19 completed July 17, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_6a5a720bed408190a766790b89972788 completed July 17, 2026, 6:18 p.m.
Created at: May 1, 2026, 1:26 a.m.