Triple
T2861583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Amendment to the United States Constitution |
E63333
|
entity |
| Predicate | rightType |
P5038
|
FINISHED |
| Object | negative right |
—
|
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: negative right | Statement: [Third Amendment to the United States Constitution, rightType, negative right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightType Context triple: [Third Amendment to the United States Constitution, rightType, negative right]
-
A.
typeOfRight
chosen
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
B.
rightHolder
Indicates that one entity holds or possesses a legal or contractual right in relation to another entity or resource.
-
C.
restrictedRight
Indicates that an entity’s ability to exercise a particular right is limited, constrained, or subject to specific conditions or prohibitions.
-
D.
hadRight
Indicates that an entity possessed a legal or moral entitlement to perform an action, access something, or claim something in relation to another entity or situation.
-
E.
rimType
Indicates the specific style or configuration of a rim associated with an object or component.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8df8288190816767169ea7cbf9 |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.