Triple
T13805798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan American Sports Organization |
E331756
|
entity |
| Predicate | typeOfEventGoverned |
P7504
|
FINISHED |
| Object | continental multi-sport games |
—
|
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: continental multi-sport games | Statement: [Pan American Sports Organization, typeOfEventGoverned, continental multi-sport games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEventGoverned Context triple: [Pan American Sports Organization, typeOfEventGoverned, continental multi-sport games]
-
A.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
B.
typeOfEventForStart
Indicates the specific kind or category of event that marks the beginning of something.
-
C.
governedCategory
Indicates that one category is subject to the control, regulation, or authority of another entity or governing framework.
-
D.
areOrganizedBy
Indicates that one entity is responsible for planning, coordinating, or managing the structure or execution of another entity or event.
-
E.
eventTypeOrganized
Indicates that an entity organized or arranged a specific type or category of event.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.