Triple
T11371200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 NCAA Men’s Final Four |
E269343
|
entity |
| Predicate | reasonForSingleCityFormat |
P33719
|
FINISHED |
| Object | COVID-19 pandemic in the United States |
E67147
|
NE FINISHED |
How this triple was built (3 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: COVID-19 pandemic in the United States | Statement: [2021 NCAA Men’s Final Four, reasonForSingleCityFormat, COVID-19 pandemic in the United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COVID-19 pandemic in the United States Context triple: [2021 NCAA Men’s Final Four, reasonForSingleCityFormat, COVID-19 pandemic in the United States]
-
A.
COVID-19 pandemic
chosen
The COVID-19 pandemic is a global outbreak of the coronavirus SARS-CoV-2 that began in late 2019, causing widespread illness, deaths, and major disruptions to societies and economies worldwide.
-
B.
COVID-19 pandemic in Belgium
The COVID-19 pandemic in Belgium was a major public health crisis marked by high infection and mortality rates, strict lockdowns, and significant strain on the country’s healthcare system and political institutions.
-
C.
COVID-19 pandemic in New South Wales
The COVID-19 pandemic in New South Wales was a major public health crisis marked by multiple outbreak waves, strict lockdowns, border controls, and extensive testing and vaccination campaigns that significantly affected the state's society and economy.
-
D.
United States federal COVID-19 relief packages
The United States federal COVID-19 relief packages were a series of large-scale legislative measures providing economic aid, public health funding, and financial support to individuals, businesses, and institutions during the COVID-19 pandemic.
-
E.
Management of the COVID-19 pandemic in Northern Ireland
Management of the COVID-19 pandemic in Northern Ireland refers to the policies, public health measures, and governmental response implemented to control the spread and impact of COVID-19 within Northern Ireland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForSingleCityFormat Context triple: [2021 NCAA Men’s Final Four, reasonForSingleCityFormat, COVID-19 pandemic in the United States]
-
A.
isOnlyCityIn
Indicates that one city is the sole city within a specified region, area, or administrative division, with no other cities present there.
-
B.
isSingleDistrictFor
Indicates that one district uniquely and exclusively serves or applies to a given entity, with no other districts sharing that role.
-
C.
reasonForVirtualFormat
chosen
Indicates that something explains or justifies why an event, activity, or interaction is being conducted in a virtual (online) format rather than in person.
-
D.
reasonForLatitude
Indicates that one factor or circumstance serves as the explanation or cause for a particular degree or extent of latitude (freedom, variation, or deviation) in a situation or condition.
-
E.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
- F. None of above.
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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568516a481909ea66cbe53968e84 |
completed | April 19, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.