Triple

T32923918
Position Surface form Disambiguated ID Type / Status
Subject David Dale E842216 entity
Predicate founded P104 FINISHED
Object cotton mills at New Lanark
The cotton mills at New Lanark were a pioneering late-18th-century Scottish industrial complex and model village renowned for progressive social and working conditions.
 E1712169 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: cotton mills at New Lanark | Statement: [David Dale, founded, cotton mills at New Lanark]
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: cotton mills at New Lanark
Triple: [David Dale, founded, cotton mills at New Lanark]
Generated description
The cotton mills at New Lanark were a pioneering late-18th-century Scottish industrial complex and model village renowned for progressive social and working conditions.

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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0d891248190b8cddb29f4e2d246 completed May 3, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c6a3dcbc8190ac030c1f412fd654 completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c844b16c81909cab857760fa499a completed June 19, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_6a34c93f41bc81908c366977b4f59d18 completed June 19, 2026, 4:44 a.m.
Created at: May 1, 2026, 1:20 a.m.