Triple
T29447394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1983 Frankfurt Motor Show |
E746887
|
entity |
| Predicate | countryOfExhibitors |
P95257
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [1983 Frankfurt Motor Show, countryOfExhibitors, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfExhibitors Context triple: [1983 Frankfurt Motor Show, countryOfExhibitors, Germany]
-
A.
exhibitedCountry
Indicates the country in which something (such as an artwork, artifact, or exhibit) is or was displayed to the public.
-
B.
expoCountry
chosen
Indicates that an exposition, fair, or exhibition is hosted in or associated with a particular country.
-
C.
featuredCountryPavilions
Indicates that certain country pavilions are highlighted or given special prominence within a larger event, exhibition, or collection.
-
D.
continentOfExhibition
Indicates that an exhibition takes place on, or is associated with, a specific continent.
-
E.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: April 28, 2026, 3:28 p.m.