Triple
T24986827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacMillan Bloedel Building |
E625332
|
entity |
| Predicate | countryCapitalOfLocatedIn |
P37313
|
FINISHED |
| Object | Ottawa is capital of Canada |
—
|
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: Ottawa is capital of Canada | Statement: [MacMillan Bloedel Building, countryCapitalOfLocatedIn, Ottawa is capital of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalOfLocatedIn Context triple: [MacMillan Bloedel Building, countryCapitalOfLocatedIn, Ottawa is capital of Canada]
-
A.
countryCapitalLocatedIn
chosen
Indicates that the capital city of a country is geographically situated within that country.
-
B.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
C.
countryCapitalRelation
Indicates that one entity is the capital city of the country represented by the other entity.
-
D.
countryCapitalOfSeat
Indicates that a country serves as the capital location or official seat of a specified entity, such as an organization or institution.
-
E.
capitalOfFrom
Indicates that a city serves or served as the capital of a specified political entity during a particular time or from a particular source context.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:03 a.m.