Triple
T28078401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Judge of the United States Court of Appeals for the Ninth Circuit |
E709610
|
entity |
| Predicate | appliesToCircuit |
P190332
|
FINISHED |
| Object | Ninth Circuit |
—
|
NE NERFINISHED |
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: Ninth Circuit | Statement: [Chief Judge of the United States Court of Appeals for the Ninth Circuit, appliesToCircuit, Ninth Circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToCircuit Context triple: [Chief Judge of the United States Court of Appeals for the Ninth Circuit, appliesToCircuit, Ninth Circuit]
-
A.
isCircuitFor
Indicates that one entity functions as a circuit designed, used, or intended for another entity.
-
B.
isCircuit
Indicates that an entity functions as or constitutes an electrical or logical circuit within a system.
-
C.
hasCircuit
Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
-
D.
associatedWithCircuit
Indicates a relationship where an entity is linked or connected in function, design, or context to a specific circuit.
-
E.
usesCircuitType
Indicates that one entity employs or is implemented using a specific type of circuit.
- F. None of above. chosen
Provenance (4 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 27, 2026, 8:50 p.m.