Triple
T1738071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goaltenders Competition |
E37964
|
entity |
| Predicate | ruleContext |
P11690
|
FINISHED |
| Object | modified NHL rules |
—
|
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: modified NHL rules | Statement: [Goaltenders Competition, ruleContext, modified NHL rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruleContext Context triple: [Goaltenders Competition, ruleContext, modified NHL rules]
-
A.
notableRuleContext
Indicates that a rule, regulation, or guideline is being applied or interpreted within a particularly important or noteworthy contextual situation.
-
B.
policyContext
chosen
Indicates the situational or regulatory framework within which a policy is defined, interpreted, or applied.
-
C.
closureContext
Indicates the surrounding scope or environment in which an operation, expression, or function is defined and executed, capturing the variables and bindings available to it.
-
D.
compositionRule
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
-
E.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.