Triple

T27927036
Position Surface form Disambiguated ID Type / Status
Subject Rivington Reservoirs E707865 entity
Predicate hasPart P35 FINISHED
Object High Bullough Reservoir
High Bullough Reservoir is a small upland water reservoir near Rivington in Lancashire, England, used historically for public water supply and now valued for its scenic and recreational surroundings.
 E1885629 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: High Bullough Reservoir | Statement: [Rivington Reservoirs, hasPart, High Bullough Reservoir]
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: High Bullough Reservoir
Triple: [Rivington Reservoirs, hasPart, High Bullough Reservoir]
Generated description
High Bullough Reservoir is a small upland water reservoir near Rivington in Lancashire, England, used historically for public water supply and now valued for its scenic and recreational surroundings.

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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a61eff08190aeabcb7b26430947 completed May 2, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5c7324481908d7727a6d2b54002 completed June 8, 2026, 3:54 p.m.
NEDg Description generation batch_6a26e6776f9481908df0bc905c664756 completed June 8, 2026, 3:57 p.m.
NED2 Entity disambiguation (via description) batch_6a26e7abb57c819095ad0e1dbf8a9be8 completed June 8, 2026, 4:02 p.m.
Created at: April 27, 2026, 7 p.m.