Triple
T1155881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Bench |
E23780
|
entity |
| Predicate | minimumQuorum |
P14823
|
FINISHED |
| Object | two-thirds of all justices |
—
|
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: two-thirds of all justices | Statement: [Grand Bench, minimumQuorum, two-thirds of all justices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumQuorum Context triple: [Grand Bench, minimumQuorum, two-thirds of all justices]
-
A.
minimumNumberOfMembers
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
B.
commitmentThreshold
Indicates the minimum level or degree of commitment required before a particular action, status, or relationship is established or recognized.
-
C.
voteRequirement
Indicates the minimum level or type of vote needed for a decision, action, or status to be valid or approved.
-
D.
hasQuorum
Indicates that the number of required participants or members is sufficient to validly conduct the specified activity or decision.
-
E.
minimumNumberOfJustices
chosen
Indicates the smallest number of justices required for a court or judicial body to validly conduct its proceedings or make decisions.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc912300819084c9c69783055a70 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.