Triple

T35084885
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Lyon E1012548 entity
Predicate alsoKnownAs P39 FINISHED
Object Peace of Lyon (1601)
The Peace of Lyon (1601) was a treaty between France and Savoy that ended their conflict in the Franco-Savoyard War, resulting in territorial adjustments that strengthened French control in southeastern France.
E2123806 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: Peace of Lyon (1601) | Statement: [Treaty of Lyon, alsoKnownAs, Peace of Lyon (1601)]
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: Peace of Lyon (1601)
Triple: [Treaty of Lyon, alsoKnownAs, Peace of Lyon (1601)]
Generated description
The Peace of Lyon (1601) was a treaty between France and Savoy that ended their conflict in the Franco-Savoyard War, resulting in territorial adjustments that strengthened French control in southeastern France.

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_69f76dd32c008190853aef6028f60208 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78baac6e48190b45b325f2614a476 completed May 3, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c64e9bbc819089aff65d67fdbdb2 completed June 21, 2026, 11:09 a.m.
NEDg Description generation batch_6a37c6b6da50819093d6c762f7a5a3fa completed June 21, 2026, 11:10 a.m.
NED2 Entity disambiguation (via description) batch_6a37c79074008190a2d624aeba552bb3 completed June 21, 2026, 11:14 a.m.
Created at: May 3, 2026, 4:01 p.m.