Triple
T26192585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de Joux |
E655006
|
entity |
| Predicate | watchmakingCenterFor |
P160359
|
FINISHED |
| Object | Breguet (manufacture in L’Abbaye) |
—
|
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: Breguet (manufacture in L’Abbaye) | Statement: [Vallée de Joux, watchmakingCenterFor, Breguet (manufacture in L’Abbaye)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watchmakingCenterFor Context triple: [Vallée de Joux, watchmakingCenterFor, Breguet (manufacture in L’Abbaye)]
-
A.
watchmakingCenterFor
chosen
Indicates that a location or institution serves as a primary hub or focal point for watchmaking activities related to a specified entity.
-
B.
watchmaking
Indicates the action or process of designing, assembling, and adjusting watches or timekeeping mechanisms.
-
C.
clockManufacturer
Indicates that one entity is the producer or maker of a clock associated with another entity.
-
D.
watchMovementType
Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
-
E.
chronometerNumber
Indicates that an entity has been assigned a specific chronometer identification number, linking it to that unique timekeeping device record.
- F. None of above.
Provenance (3 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_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:45 p.m.