Triple
T3305591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan-les-Ouates |
E69440
|
entity |
| Predicate | economicSpecialization |
P43327
|
FINISHED |
| Object | luxury watchmaking |
—
|
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: luxury watchmaking | Statement: [Plan-les-Ouates, economicSpecialization, luxury watchmaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicSpecialization Context triple: [Plan-les-Ouates, economicSpecialization, luxury watchmaking]
-
A.
economicSectorSourceOfWealth
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
B.
economicClassification
Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
-
C.
marketSpecialization
chosen
Indicates a relationship where an entity focuses its activities, products, or services on serving a specific segment or niche of a broader market.
-
D.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
E.
economicFunction
Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c9470881908c36c1984fdbb67b |
completed | March 8, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.