Triple
T10726499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | False Creek |
E252959
|
entity |
| Predicate | hostedEventAreaFor |
P95650
|
FINISHED |
| Object | 2010 Winter Olympics athletes village vicinity |
—
|
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: 2010 Winter Olympics athletes village vicinity | Statement: [False Creek, hostedEventAreaFor, 2010 Winter Olympics athletes village vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventAreaFor Context triple: [False Creek, hostedEventAreaFor, 2010 Winter Olympics athletes village vicinity]
-
A.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
B.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
C.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
-
D.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
-
E.
connectsToEventVenue
Indicates that one entity serves as a link or route providing access or connection to an event venue.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc713f081909ba1d1b986c1fe5c |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:14 p.m.