Triple

T23802852
Position Surface form Disambiguated ID Type / Status
Subject Tissot E589619 entity
Predicate usesMovement P15695 FINISHED
Object Powermatic 80 movement
The Powermatic 80 movement is a modern Swiss automatic watch caliber known for its extended 80-hour power reserve and reliable performance in many of Tissot’s contemporary timepieces.
 E1605282 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: Powermatic 80 movement | Statement: [Tissot, usesMovement, Powermatic 80 movement]
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: Powermatic 80 movement
Triple: [Tissot, usesMovement, Powermatic 80 movement]
Generated description
The Powermatic 80 movement is a modern Swiss automatic watch caliber known for its extended 80-hour power reserve and reliable performance in many of Tissot’s contemporary timepieces.

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_69e25d19fecc8190a5cf39bbb18d5d7f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c74f34108190b11961d634559d2b completed April 29, 2026, 8:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f697a13188190a6d85741c0456940 completed May 21, 2026, 8:22 p.m.
NEDg Description generation batch_6a0f6d3de27c8190b3cab02a1dfce6ae completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e38cf648190b30122be93c70685 completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 7:54 p.m.