Triple
T37610445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1948 IIHF World Championship |
E935770
|
entity |
| Predicate | matchesCountedAs |
P135589
|
FINISHED |
| Object | both Olympic and World Championship games |
—
|
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: both Olympic and World Championship games | Statement: [1948 IIHF World Championship, matchesCountedAs, both Olympic and World Championship games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchesCountedAs Context triple: [1948 IIHF World Championship, matchesCountedAs, both Olympic and World Championship games]
-
A.
isCountedAs
chosen
Indicates that one entity is treated or included as part of the tally, total, or quantitative assessment of another entity.
-
B.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
C.
countIncludes
Indicates that a numerical count encompasses or contains a specified subset, element, or component within its total.
-
D.
matches
Indicates that two entities correspond to or are in agreement with each other according to some defined criteria or pattern.
-
E.
maskCountApproximate
Indicates that the number of masks involved is represented as an approximate (non-exact) count.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.