Triple
T32320277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrishow agricultural fair |
E825755
|
entity |
| Predicate | countryOfVisitors |
P75569
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [Agrishow agricultural fair, countryOfVisitors, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfVisitors Context triple: [Agrishow agricultural fair, countryOfVisitors, Brazil]
-
A.
visitingNationality
Indicates the nationality of a person or group that is visiting a particular place or host.
-
B.
hasVisitorsFrom
chosen
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
C.
commonVisitorNationalities
Indicates that the related entity has visitors whose nationalities are commonly represented among its overall visitor population.
-
D.
attendeeCountry
Indicates the country associated with an attendee, typically where the attendee comes from or is based.
-
E.
viaCountry
Indicates that something passes through, transits, or is routed by way of a specified 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a004a8892c08190bcacb952ad737716 |
completed | May 10, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_6a004a44b4948190be4b3dbfce8da020 |
completed | May 10, 2026, 9:05 a.m. |
Created at: May 1, 2026, 12:46 a.m.