Triple
T3577004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Constitution |
E75711
|
entity |
| Predicate | subjectToAmendmentBy |
P48269
|
FINISHED |
| Object | NCAA membership |
—
|
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 membership | Statement: [NCAA Constitution, subjectToAmendmentBy, NCAA membership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectToAmendmentBy Context triple: [NCAA Constitution, subjectToAmendmentBy, NCAA membership]
-
A.
typeOfAmendment
Indicates the specific kind or category of amendment that is being applied to something, such as a document, law, or agreement.
-
B.
mayAmend
chosen
Indicates that one party has the authority or permission to modify, revise, or change something that already exists.
-
C.
amendedBy
Indicates that one entity has been modified, revised, or updated as a result of changes made by another entity.
-
D.
amendedFor
Indicates that one entity has been modified or revised specifically to address, correct, or accommodate another entity.
-
E.
legalAmendment
Indicates a formal change or modification made to an existing law, regulation, or legal document.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0dba238819083a1d09005c312b8 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.