Triple
T26192583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de Joux |
E655006
|
entity |
| Predicate | watchmakingCenterFor |
P160359
|
FINISHED |
| Object | Audemars Piguet |
—
|
NE NERFINISHED |
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: Audemars Piguet | Statement: [Vallée de Joux, watchmakingCenterFor, Audemars Piguet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watchmakingCenterFor Context triple: [Vallée de Joux, watchmakingCenterFor, Audemars Piguet]
-
A.
watchmaking
Indicates the action or process of designing, assembling, and adjusting watches or timekeeping mechanisms.
-
B.
clockManufacturer
Indicates that one entity is the producer or maker of a clock associated with another entity.
-
C.
watchMovementType
Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
-
D.
chronometerNumber
Indicates that an entity has been assigned a specific chronometer identification number, linking it to that unique timekeeping device record.
-
E.
isFashionCenterFor
Indicates that something serves as a primary hub or focal point for fashion-related activities, influence, or industry.
- F. None of above. chosen
Provenance (4 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60ca35e808190b5ec91d212f10cf3 |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 8:45 p.m.