Triple
T35299651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenz cipher |
E1019468
|
entity |
| Predicate | wheelFunction |
P182705
|
FINISHED |
| Object | chi wheels |
—
|
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: chi wheels | Statement: [Lorenz cipher, wheelFunction, chi wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelFunction Context triple: [Lorenz cipher, wheelFunction, chi wheels]
-
A.
wheelFormula
Indicates the specific arrangement and count of wheels configured on a vehicle or similar object.
-
B.
wheelName
Indicates that an entity has or is associated with a specific name assigned to a wheel.
-
C.
wingFunction
Indicates the functional role or purpose that a wing serves in enabling certain actions or capabilities.
-
D.
fingerFunction
Indicates that a finger performs or is associated with a particular function or role in an action or system.
-
E.
driveMechanism
Indicates the mechanism or component that transmits power to drive or actuate another part of a system.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.