Triple
T1084931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Rules of Professional Conduct |
E24027
|
entity |
| Predicate | disciplinarySanctionsMayInclude |
P18137
|
FINISHED |
| Object | disbarment |
—
|
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: disbarment | Statement: [Massachusetts Rules of Professional Conduct, disciplinarySanctionsMayInclude, disbarment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplinarySanctionsMayInclude Context triple: [Massachusetts Rules of Professional Conduct, disciplinarySanctionsMayInclude, disbarment]
-
A.
typeOfSanction
chosen
Indicates the specific category or kind of sanction that is applied in a given situation.
-
B.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
C.
conditionsLiftingOfSanctionsOn
Indicates that one entity specifies or determines the requirements under which sanctions imposed on another entity will be removed or relaxed.
-
D.
hasPunishment
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
E.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b961d0cc8190858296b44fab2f32 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.