Triple
T38592986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wraith Form |
E932495
|
entity |
| Predicate | inputDefaultPC |
P191260
|
FINISHED |
| Object | Shift key |
—
|
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: Shift key | Statement: [Wraith Form, inputDefaultPC, Shift key]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputDefaultPC Context triple: [Wraith Form, inputDefaultPC, Shift key]
-
A.
inputDevice
Indicates that one entity functions as a device used to provide input to another entity or system.
-
B.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
-
C.
input
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
D.
inputLocation
Indicates the location or place where an input is provided, received, or originates within a process or system.
-
E.
primarySystem
Indicates that one system is designated as the main or most important system in relation to another system or context.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.