Triple
T3934808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Couthon |
E90882
|
entity |
| Predicate | usedDevice |
P9919
|
FINISHED |
| Object | wheelchair |
—
|
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: wheelchair | Statement: [Georges Couthon, usedDevice, wheelchair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDevice Context triple: [Georges Couthon, usedDevice, wheelchair]
-
A.
usesDevice
chosen
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
B.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
C.
device
Indicates that one entity is a device used, controlled, or referenced by another entity in the relationship.
-
D.
usedInDeviceFamily
Indicates that something (such as a component, technology, or feature) is employed or incorporated within a particular family of related devices.
-
E.
usedTerminal
Indicates that an entity made use of or interacted with a particular terminal or endpoint device.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.