Triple

T31063242
Position Surface form Disambiguated ID Type / Status
Subject Pontedeume E791601 entity
Predicate locatedAtMouthOf P165 FINISHED
Object Eume River
The Eume River is a river in the Galicia region of northwestern Spain, known for flowing through the Fragas do Eume natural park before reaching the Atlantic Ocean.
E2294751 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: Eume River | Statement: [Pontedeume, locatedAtMouthOf, Eume 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: Eume River
Triple: [Pontedeume, locatedAtMouthOf, Eume River]
Generated description
The Eume River is a river in the Galicia region of northwestern Spain, known for flowing through the Fragas do Eume natural park before reaching the Atlantic Ocean.

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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695792b748190882e715603d406a2 completed May 3, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7c17e5ece08190aeb44dbe62347fb5 completed Aug. 12, 2026, 6:51 a.m.
NEDg Description generation batch_6a7c191aafe4819098d97701b5ae98ac completed Aug. 12, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a7c19691ea881908fd30b448374efeb completed Aug. 12, 2026, 6:57 a.m.
Created at: April 29, 2026, 9:01 p.m.