Triple

T34221803
Position Surface form Disambiguated ID Type / Status
Subject Glenmacnass Waterfall E877940 entity
Predicate locatedOnRiver P165 FINISHED
Object Glenmacnass River
Glenmacnass River is a scenic river in County Wicklow, Ireland, known for flowing through the Wicklow Mountains and forming the picturesque Glenmacnass Waterfall.
E2089003 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: Glenmacnass River | Statement: [Glenmacnass Waterfall, locatedOnRiver, Glenmacnass 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: Glenmacnass River
Triple: [Glenmacnass Waterfall, locatedOnRiver, Glenmacnass River]
Generated description
Glenmacnass River is a scenic river in County Wicklow, Ireland, known for flowing through the Wicklow Mountains and forming the picturesque Glenmacnass Waterfall.

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_69f349b16d0481908754e3069f05e0c1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7108232488190a8c33ae6c0246929 completed May 3, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36e61765008190a597f7ab40487ae7 completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36e93435048190b51cb9e7ecab281c completed June 20, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a36e9bb55ac819087e417973a23fa0b completed June 20, 2026, 7:27 p.m.
Created at: May 1, 2026, 1:55 a.m.