Triple

T26259549

Position	Surface form	Disambiguated ID	Type / Status
Subject	Caradon Mining District	`E656808`	entity
Predicate	hasViewpoint	`P854`	FINISHED
Object	Caradon Hill Caradon Hill is a prominent granite hill on Bodmin Moor in Cornwall, England, known for its historic mining remains and wide-ranging views over the surrounding landscape.	`E1737762`	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: Caradon Hill | Statement: [Caradon Mining District, hasViewpoint, Caradon Hill]

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: Caradon Hill
Triple: [Caradon Mining District, hasViewpoint, Caradon Hill]

Generated description

Caradon Hill is a prominent granite hill on Bodmin Moor in Cornwall, England, known for its historic mining remains and wide-ranging views over the surrounding landscape.

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_69ee5b4d25ac819086acb51184602576`	completed	April 26, 2026, 6:37 p.m.
NER	Named-entity recognition	`batch_69f60dfdd57c81908d069fc4b8124ff7`	completed	May 2, 2026, 2:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a11fe4d97408190b3e191489f3548ab`	completed	May 23, 2026, 7:21 p.m.
NEDg	Description generation	`batch_6a11ffc02be08190bd5e8e5e6c7be000`	completed	May 23, 2026, 7:28 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1200717d2881909d413b5dca4b8090`	completed	May 23, 2026, 7:30 p.m.

Created at: April 26, 2026, 9:09 p.m.