Triple
T27252138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenville County, Ontario |
E687511
|
entity |
| Predicate | governingCountryAtFormation |
P17601
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Grenville County, Ontario, governingCountryAtFormation, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingCountryAtFormation Context triple: [Grenville County, Ontario, governingCountryAtFormation, United Kingdom]
-
A.
foundingLocationPresentCountry
Indicates the present-day country in which the location where something (typically an organization or institution) was founded is situated.
-
B.
설립국가
Indicates the country in which an organization, institution, or entity was originally founded or established.
-
C.
countryFormedIn
Indicates that a country came into existence or was established during a specified time period or event.
-
D.
formerGoverningCountry
chosen
Indicates that one country previously held governing or colonial authority over another country or territory.
-
E.
countryOfFormulation
Indicates the country in which something (such as a policy, plan, or product) was originally formulated or developed.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 27, 2026, 10:46 a.m.