Triple

T26590776
Position Surface form Disambiguated ID Type / Status
Subject Crawford, South Lanarkshire E667346 entity
Predicate locatedNear P294 FINISHED
Object Clyde Valley forests
Clyde Valley forests are a series of ancient, semi-natural woodlands along the River Clyde in Scotland, noted for their rich biodiversity and scenic river gorges.
 E1731312 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: Clyde Valley forests | Statement: [Crawford, South Lanarkshire, locatedNear, Clyde Valley forests]
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: Clyde Valley forests
Triple: [Crawford, South Lanarkshire, locatedNear, Clyde Valley forests]
Generated description
Clyde Valley forests are a series of ancient, semi-natural woodlands along the River Clyde in Scotland, noted for their rich biodiversity and scenic river gorges.

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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61525df3c8190b15f04f84bc02c96 completed May 2, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c838cb388190a6be7088e3155c68 completed May 23, 2026, 3:31 p.m.
NEDg Description generation batch_6a11c945273c8190ac0bc6fe508a6d9a completed May 23, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca5af2a88190b64f3929d0abb7c8 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 2:07 a.m.