Triple
T3942792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2026 Winter Olympics |
E92073
|
entity |
| Predicate | usesMultipleHostCities |
P52148
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2026 Winter Olympics, usesMultipleHostCities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMultipleHostCities Context triple: [2026 Winter Olympics, usesMultipleHostCities, true]
-
A.
hasCoHostCity
Indicates that an event is jointly hosted or organized by the specified city alongside one or more other cities.
-
B.
numberOfHostCities
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
C.
hasHostCity
Indicates that a particular event, organization, or activity is located in or officially hosted by a specific city.
-
D.
rotatingHostCity
Indicates that the role of host city changes periodically among different cities according to a rotation schedule.
-
E.
hasHostCityStatus
Indicates that a city holds the official designation or role of hosting a particular event, organization, or function.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:24 p.m.