Triple

T28218570
Position Surface form Disambiguated ID Type / Status
Subject Chat Moss E711385 entity
Predicate partOf P40 FINISHED
Object Mosslands of the River Mersey basin
The Mosslands of the River Mersey basin are an extensive complex of lowland peat bogs and wetlands in northwest England, valued for their biodiversity, carbon storage, and distinctive cultural landscape.
 E1807829 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: Mosslands of the River Mersey basin | Statement: [Chat Moss, partOf, Mosslands of the River Mersey basin]
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: Mosslands of the River Mersey basin
Triple: [Chat Moss, partOf, Mosslands of the River Mersey basin]
Generated description
The Mosslands of the River Mersey basin are an extensive complex of lowland peat bogs and wetlands in northwest England, valued for their biodiversity, carbon storage, and distinctive cultural 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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6434ed8cc8190ae45736d0b678275 completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6c5627881908deddbad8427afa5 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15ea5fc46481908b214399f9d28a87 completed May 26, 2026, 6:45 p.m.
NED2 Entity disambiguation (via description) batch_6a15ec741c088190bc9c4a445629c065 completed May 26, 2026, 6:54 p.m.
Created at: April 27, 2026, 10:45 p.m.