Triple
T26373573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxidea |
E660832
|
entity |
| Predicate | geographicDistributionOfMembers |
P2178
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [Taxidea, geographicDistributionOfMembers, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDistributionOfMembers Context triple: [Taxidea, geographicDistributionOfMembers, Canada]
-
A.
distributionOfMember
Indicates that something represents or specifies how the members of a group or collection are distributed or allocated.
-
B.
geographicDistribution
chosen
Indicates the spatial range or area over which something occurs, exists, or is found.
-
C.
numberOfRegionalMembers
Indicates the quantity of members associated with or belonging to a specific region within a given context.
-
D.
hasMemberJurisdictions
Indicates that an administrative or organizational entity includes specific jurisdictions as its constituent members.
-
E.
nativeRegionOfMembers
Indicates the geographic region from which the members of a group or organization originally come.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 11 p.m.