Triple
T21913453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Copa América Centenario |
E541120
|
entity |
| Predicate | hostCityCount |
P14674
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [2016 Copa América Centenario, hostCityCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityCount Context triple: [2016 Copa América Centenario, hostCityCount, 10]
-
A.
numberOfHostCities
chosen
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
B.
hostCityCluster
Indicates that a city serves as a central or primary host location within a defined group or cluster of related events, activities, or entities.
-
C.
hostCityOfEvent
Indicates that a city serves as the location where a particular event is held or takes place.
-
D.
hostCitiesInclude
Indicates that a particular set, event, or organization has among its host locations the specified city or cities.
-
E.
hostCityLocatedOn
Indicates that the city serving as a host (e.g., of an event) is geographically situated on or along a specified physical feature or area (such as a river, coast, or region).
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123359e1c8190a606a92c5bcb58e8 |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:42 p.m.