Triple

T28339216
Position Surface form Disambiguated ID Type / Status
Subject Watlington Hill E717763 entity
Predicate hasViewOf P854 FINISHED
Object Oxfordshire plain
The Oxfordshire plain is a broad, low-lying expanse of largely agricultural and rural landscape in the county of Oxfordshire, England.
 E1815450 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: Oxfordshire plain | Statement: [Watlington Hill, hasViewOf, Oxfordshire plain]
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: Oxfordshire plain
Triple: [Watlington Hill, hasViewOf, Oxfordshire plain]
Generated description
The Oxfordshire plain is a broad, low-lying expanse of largely agricultural and rural landscape in the county of Oxfordshire, England.

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_69eff6eb30388190b898b96c4be6f49d completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64bd73f6c8190bb7b109eccbf44b7 completed May 2, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1627bca8e8819089c1ee8070936e62 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a162a3f36f88190af7ed6fd2b374f08 completed May 26, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a162b3ab17881909efd87953fa1c288 completed May 26, 2026, 11:22 p.m.
Created at: April 28, 2026, 12:38 a.m.