Triple
T2464167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton |
E55203
|
entity |
| Predicate | CantonFairInstanceOf |
P33707
|
FINISHED |
| Object | trade fair |
—
|
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: trade fair | Statement: [Canton, CantonFairInstanceOf, trade fair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CantonFairInstanceOf Context triple: [Canton, CantonFairInstanceOf, trade fair]
-
A.
cantonDesign
Indicates that a canton (administrative region) is responsible for designing or determining the form, structure, or layout of something.
-
B.
exhibitedCompany
Indicates that a company participated as an exhibitor or showcased its products/services at a particular event or venue.
-
C.
hasExhibitors
chosen
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
-
D.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
E.
canton
Indicates that an entity is administratively located within, belongs to, or is governed as part of a specific canton.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.