Triple
T32806297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Judge of the United States Court of Appeals for the Tenth Circuit |
E839027
|
entity |
| Predicate | maySitByDesignation |
P69127
|
FINISHED |
| Object | other United States courts of appeals |
—
|
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: other United States courts of appeals | Statement: [Senior Judge of the United States Court of Appeals for the Tenth Circuit, maySitByDesignation, other United States courts of appeals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maySitByDesignation Context triple: [Senior Judge of the United States Court of Appeals for the Tenth Circuit, maySitByDesignation, other United States courts of appeals]
-
A.
maySitAs
chosen
Indicates that one entity is permitted or authorized to serve or participate in an official capacity within another entity (such as a body, panel, or role).
-
B.
maySit
Indicates that one entity is permitted or allowed to sit on or in another entity.
-
C.
maySitByRight
Indicates that an entity has the right or permission to sit next to another entity.
-
D.
maySitWith
Indicates that one entity is permitted or allowed to sit together with another entity.
-
E.
seatDesignatedBy
Indicates that a specific seat has been assigned or allocated to an entity by a particular agent or authority.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.