Triple
T4093933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAS machine |
E87767
|
entity |
| Predicate | outputDevice |
P2571
|
FINISHED |
| Object | punched cards |
—
|
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: punched cards | Statement: [IAS machine, outputDevice, punched cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputDevice Context triple: [IAS machine, outputDevice, punched cards]
-
A.
executionDevice
Indicates that an entity serves as the instrument, tool, or device used to carry out or execute a particular action or process.
-
B.
inputDevice
chosen
Indicates that one entity functions as a device used to provide input to another entity or system.
-
C.
usesSoundDevice
Indicates that one entity operates or relies on a sound-producing or sound-processing device in relation to another entity or context.
-
D.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
E.
videoOutput
Indicates that one entity produces or provides video signals or content as output to another entity or medium.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcda2f408190bcf2b64535193162 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.