Triple
T32575836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Soccer League (post-2006) |
E832641
|
entity |
| Predicate | hasEthnicCommunityClubs |
P183528
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Canadian Soccer League (post-2006), hasEthnicCommunityClubs, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicCommunityClubs Context triple: [Canadian Soccer League (post-2006), hasEthnicCommunityClubs, yes]
-
A.
ethnicCommunityAssociation
Indicates a relationship where an entity is associated with, belongs to, or is involved in an ethnic community organization or group.
-
B.
hasCulturalCommunity
Indicates that an entity is associated with, belongs to, or is part of a specific cultural community.
-
C.
ethnicCommunityContext
Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
-
D.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
-
E.
hasEthnicScene
Indicates that a work contains a scene depicting or involving a particular ethnic group or culturally specific context.
- F. None of above. chosen
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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 1, 2026, 1:04 a.m.