Triple

T30722818
Position Surface form Disambiguated ID Type / Status
Subject Augusta Emerita E782198 entity
Predicate traversedBy P225 FINISHED
Object Albarregas River
The Albarregas River is a small watercourse in western Spain that flows through the ancient Roman city of Augusta Emerita (modern Mérida), contributing to its historical urban landscape and infrastructure.
 E2285808 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: Albarregas River | Statement: [Augusta Emerita, traversedBy, Albarregas 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: Albarregas River
Triple: [Augusta Emerita, traversedBy, Albarregas River]
Generated description
The Albarregas River is a small watercourse in western Spain that flows through the ancient Roman city of Augusta Emerita (modern Mérida), contributing to its historical urban landscape and infrastructure.

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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c5af9088190b5b6e9b23c23faf8 completed May 2, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4620db976c8190aa71f5e093473462 completed July 2, 2026, 8:27 a.m.
NEDg Description generation batch_6a46252badc0819081766bea89345bef completed July 2, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a46270f0214819086cefa3c123a5cf1 completed July 2, 2026, 8:53 a.m.
Created at: April 29, 2026, 8:36 p.m.