Triple

T28294721
Position Surface form Disambiguated ID Type / Status
Subject Stanton Drew stone circles E713529 entity
Predicate hasPart P35 FINISHED
Object Hautville’s Quoit
Hautville’s Quoit is a large, fallen Neolithic dolmen or burial chamber located near the Stanton Drew stone circles in Somerset, England.
 E1812402 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: Hautville’s Quoit | Statement: [Stanton Drew stone circles, hasPart, Hautville’s Quoit]
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: Hautville’s Quoit
Triple: [Stanton Drew stone circles, hasPart, Hautville’s Quoit]
Generated description
Hautville’s Quoit is a large, fallen Neolithic dolmen or burial chamber located near the Stanton Drew stone circles in Somerset, 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_69efb524ab688190a1ce7ee7c9520932 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6448643f48190b5d292584036de6e completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16073162dc8190b442e08f4a17e37b completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a1613bfd9bc8190a976e350dc9373d7 completed May 26, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a1614dc78b48190a1a5d5832b7fa518 completed May 26, 2026, 9:47 p.m.
Created at: April 27, 2026, 11:31 p.m.