Triple
T15923638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis-Ulysse Chopard |
E386151
|
entity |
| Predicate | industryPioneerIn |
P2809
|
FINISHED |
| Object | Swiss luxury watches |
—
|
LITERAL 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: Swiss luxury watches | Statement: [Louis-Ulysse Chopard, industryPioneerIn, Swiss luxury watches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryPioneerIn Context triple: [Louis-Ulysse Chopard, industryPioneerIn, Swiss luxury watches]
-
A.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
-
B.
industryConnection
Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
-
C.
foundingIndustry
Indicates the industry or sector in which an entity was originally founded or began its primary operations.
-
D.
pioneerOf
chosen
Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
-
E.
industryCenter
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.