Triple
T24826566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1955 Pan American Games events |
E621207
|
entity |
| Predicate | participatingContinent |
P158678
|
FINISHED |
| Object | North America |
—
|
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: North America | Statement: [1955 Pan American Games events, participatingContinent, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participatingContinent Context triple: [1955 Pan American Games events, participatingContinent, North America]
-
A.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
-
B.
continentOfOffice
Indicates the continent on which a given office is geographically located.
-
C.
continentOfUse
Indicates the continent where something is primarily used or in effect.
-
D.
continentOfResidence
Indicates the continent on which a given entity currently resides or is based.
-
E.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f47b7f657c81908174590c811a3cbf |
completed | May 1, 2026, 10:07 a.m. |
Created at: April 18, 2026, 5:05 a.m.