Triple

T23936205
Position Surface form Disambiguated ID Type / Status
Subject Cliburn E602643 entity
Predicate locatedNear P294 FINISHED
Object River Leith
River Leith is a small river in Cumbria, England, that flows through the Eden Valley and passes near villages such as Cliburn before joining the River Eden.
 E1660320 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: River Leith | Statement: [Cliburn, locatedNear, River Leith]
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: River Leith
Triple: [Cliburn, locatedNear, River Leith]
Generated description
River Leith is a small river in Cumbria, England, that flows through the Eden Valley and passes near villages such as Cliburn before joining the River Eden.

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_69e2953cf6e081909b8e25a10a52dddc completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1cfa063088190bdbe2dacf854f8b5 completed April 29, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048658cf88190b0fd6fcc517966f0 completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a1049149e648190803dd1d0fb8fb4a4 completed May 22, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a1049becb848190b035eff19c6cd5ad completed May 22, 2026, 12:19 p.m.
Created at: April 17, 2026, 9:03 p.m.