Triple
T6547388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L1O |
E151043
|
entity |
| Predicate | countryTierContext |
P37057
|
FINISHED |
| Object | third tier of Canadian men’s soccer |
—
|
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: third tier of Canadian men’s soccer | Statement: [L1O, countryTierContext, third tier of Canadian men’s soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryTierContext Context triple: [L1O, countryTierContext, third tier of Canadian men’s soccer]
-
A.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
B.
rankTier
chosen
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
C.
competitionHierarchyLevel
Indicates the relative rank or tier of a competition within an overall competitive structure or hierarchy.
-
D.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
E.
athleticAssociationTier
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.