Triple
T3601091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League women’s lacrosse |
E76256
|
entity |
| Predicate | eligibilityRuleFramework |
P25398
|
FINISHED |
| Object | NCAA 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: NCAA rules | Statement: [Ivy League women’s lacrosse, eligibilityRuleFramework, NCAA rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibilityRuleFramework Context triple: [Ivy League women’s lacrosse, eligibilityRuleFramework, NCAA rules]
-
A.
eligibilityRulesSetBy
chosen
Indicates that one party defines or establishes the criteria or rules determining another party’s eligibility for something.
-
B.
formerEligibilityRule
Indicates that an entity was previously subject to a particular eligibility rule, but that rule no longer currently applies.
-
C.
eligibilityContext
Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
-
D.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
E.
isRuleGoverned
Indicates that an entity’s behavior, structure, or operation is determined and constrained by explicit rules or formal regulations.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1a1e8c48190a28ea3ddfe8c4e54 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.