Triple
T32575816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Soccer League (post-2006) |
E832641
|
entity |
| Predicate | teamLocationConcentration |
P3777
|
FINISHED |
| Object | Greater Toronto Area |
—
|
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: Greater Toronto Area | Statement: [Canadian Soccer League (post-2006), teamLocationConcentration, Greater Toronto Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamLocationConcentration Context triple: [Canadian Soccer League (post-2006), teamLocationConcentration, Greater Toronto Area]
-
A.
teamLocationCriterion
Indicates a condition that specifies or restricts where a team must be located.
-
B.
teamLocation
chosen
Indicates that a team is based in, associated with, or operates from a particular geographic location.
-
C.
teamLocationScope
Indicates the geographic or organizational area within which a team operates or is considered relevant.
-
D.
teamLocationExample
Indicates that a specific location is provided as an example of where a team is based or operates.
-
E.
teamLocationType
Indicates the type or category of location associated with a team (e.g., home city, training facility, or regional base).
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c63e3ac081908cd2ee069e971cea |
completed | May 3, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:04 a.m.