Triple
T5984787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XXIII Olympic Winter Games |
E133199
|
entity |
| Predicate | featuredNewEvents |
P6628
|
FINISHED |
| Object | big air snowboarding |
—
|
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: big air snowboarding | Statement: [XXIII Olympic Winter Games, featuredNewEvents, big air snowboarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredNewEvents Context triple: [XXIII Olympic Winter Games, featuredNewEvents, big air snowboarding]
-
A.
featuresEvent
chosen
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
B.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
C.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
D.
nearbyEvent
Indicates that one event occurs close in space or time to another event.
-
E.
shareCulturalFestivals
Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6dcaf08190bac27c7042e65e07 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.