Triple
T17551459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Wadlow |
E427472
|
entity |
| Predicate | usedMobilityAid |
P2728
|
FINISHED |
| Object | leg braces |
—
|
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: leg braces | Statement: [Robert Wadlow, usedMobilityAid, leg braces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMobilityAid Context triple: [Robert Wadlow, usedMobilityAid, leg braces]
-
A.
usesWheelchair
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
-
B.
wheelchairAccessibility
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
-
C.
supportsMobilityType
Indicates that one entity provides compatibility with, or can function using, a specified type of mobility or movement mode.
-
D.
usesEquipment
chosen
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
-
E.
hasWheelchairSpace
Indicates that an object, location, or vehicle includes designated space that can accommodate a wheelchair user.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454664b348190aea3ad59954b2c91 |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.