Triple
T9573611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heber Valley |
E230987
|
entity |
| Predicate | hostedEventsNearby |
P89881
|
FINISHED |
| Object | 2002 Winter Olympics Nordic events |
—
|
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: 2002 Winter Olympics Nordic events | Statement: [Heber Valley, hostedEventsNearby, 2002 Winter Olympics Nordic events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventsNearby Context triple: [Heber Valley, hostedEventsNearby, 2002 Winter Olympics Nordic events]
-
A.
nearbyEvent
Indicates that one event occurs close in space or time to another event.
-
B.
organisedEvent
Indicates that an entity planned, coordinated, and carried out an event.
-
C.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
-
D.
shareCulturalFestivals
Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
-
E.
weekendEvent
Indicates that an event occurs during the weekend period (typically Saturday and/or Sunday).
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99a94c788190a4bb5d2b676908ac |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:05 p.m.