Triple
T739956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corfield v. Coryell |
E15220
|
entity |
| Predicate | listsRight |
P4517
|
FINISHED |
| Object | the right to travel and reside in any state |
—
|
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: the right to travel and reside in any state | Statement: [Corfield v. Coryell, listsRight, the right to travel and reside in any state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsRight Context triple: [Corfield v. Coryell, listsRight, the right to travel and reside in any state]
-
A.
listType
Indicates that one entity specifies the classification or category type of a list associated with another entity.
-
B.
listsGrounds
Indicates that one entity enumerates or specifies the reasons, bases, or justifications (grounds) associated with another entity.
-
C.
listedOn
Indicates that an item, entity, or piece of information appears as an entry on a particular list, platform, or catalog.
-
D.
concernsRight
chosen
Indicates that something is about or relates specifically to a legal or moral right held by an entity.
-
E.
introducedRight
Indicates that one entity formally presented or brought another entity to the attention of a third party or context, with the second entity occupying a role or position on the right side in that introduction.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.