Triple

T26919138
Position Surface form Disambiguated ID Type / Status
Subject Treaty of York (1237) E677596 entity
Predicate confirmedEnglishControlOf P165374 FINISHED
Object Cumberland
Cumberland is a historic county in northwestern England, bordering Scotland and the Irish Sea, known for its role in Anglo-Scottish border history and as part of the Lake District region.
E53833 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: Cumberland | Statement: [Treaty of York (1237), confirmedEnglishControlOf, Cumberland]
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: Cumberland
Triple: [Treaty of York (1237), confirmedEnglishControlOf, Cumberland]
Generated description
Cumberland is a historic county in northwestern England, bordering Scotland and the Irish Sea, known for its role in Anglo-Scottish border history and as part of the Lake District region.

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_69eee9bdebc48190ba90a12a63e09c73 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f659d389cc81908a6c952dd842c3a6 completed May 2, 2026, 8:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a122993c3fc81909abb8b1a255ecedf completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a2048408190a3a8cf5a2efa9b08 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 27, 2026, 6:06 a.m.