Triple
T1543814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Hockey League |
E32929
|
entity |
| Predicate | countryRanking |
P30206
|
FINISHED |
| Object | top professional league in Sweden |
—
|
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: top professional league in Sweden | Statement: [Swedish Hockey League, countryRanking, top professional league in Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryRanking Context triple: [Swedish Hockey League, countryRanking, top professional league in Sweden]
-
A.
countryRankContext
Indicates the relative position or ranking of a country within a specified contextual framework (such as economic, political, or performance-based criteria).
-
B.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
C.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
D.
continentRankByPopulation
Indicates the relative position of a continent in an ordered list based on its population size.
-
E.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93df847cc8190b6d011af33b34b40 |
completed | March 5, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.