Triple
T38154309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Exhibition of 1862 |
E952841
|
entity |
| Predicate | numberOfCountriesExhibited |
P207618
|
FINISHED |
| Object | over 30 |
—
|
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: over 30 | Statement: [Great Exhibition of 1862, numberOfCountriesExhibited, over 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCountriesExhibited Context triple: [Great Exhibition of 1862, numberOfCountriesExhibited, over 30]
-
A.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
B.
exhibitedCountry
Indicates the country in which something (such as an artwork, artifact, or exhibit) is or was displayed to the public.
-
C.
continentOfExhibition
Indicates that an exhibition takes place on, or is associated with, a specific continent.
-
D.
exhibitorsNumber
Indicates the total count of exhibitors associated with a given event or exhibition.
-
E.
featuredCountryPavilions
Indicates that certain country pavilions are highlighted or given special prominence within a larger event, exhibition, or collection.
- F. None of above. chosen
Provenance (4 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.