Triple

T30723881
Position Surface form Disambiguated ID Type / Status
Subject Las Batuecas E782223 entity
Predicate contains P35 FINISHED
Object Batuecas River
The Batuecas River is a small mountain river in western Spain that flows through the remote, scenic Las Batuecas valley, known for its natural beauty and biodiversity.
 E1995422 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: Batuecas River | Statement: [Las Batuecas, contains, Batuecas 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: Batuecas River
Triple: [Las Batuecas, contains, Batuecas River]
Generated description
The Batuecas River is a small mountain river in western Spain that flows through the remote, scenic Las Batuecas valley, known for its natural beauty and biodiversity.

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_69f224ad9f9c81908e02a79ae0001137 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c5bab9c8190b1f0518559c5259f completed May 2, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0baafeb88190bec9718e1d7b66b3 completed June 14, 2026, 8:14 p.m.
NEDg Description generation batch_6a2f0ca5db008190a1de72d58c55d0bb completed June 14, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_6a2f0e1ead7c8190bada929583412e06 completed June 14, 2026, 8:25 p.m.
Created at: April 29, 2026, 8:36 p.m.