Triple
T31129005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canyon Cougar |
E793443
|
entity |
| Predicate | eventHostNation |
P98941
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Canyon Cougar, eventHostNation, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventHostNation Context triple: [Canyon Cougar, eventHostNation, United States]
-
A.
eventHostCountries
Indicates that the subject countries serve as hosts for a particular event or set of events.
-
B.
hostedByCountry
chosen
Indicates that an event or activity is organized, held, or officially hosted within the jurisdiction of a specific country.
-
C.
lastHostCountry
Indicates the country that most recently hosted a particular event, activity, or entity.
-
D.
mainHostCountry
Indicates the country that primarily serves as the host location for the associated entity or event.
-
E.
tournamentHostCitiesCountry
Indicates the country in which the cities hosting a particular tournament are located.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 9:05 p.m.