Triple
T25833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porter |
E516
|
entity |
| Predicate | accessibleFor |
P1017
|
FINISHED |
| Object | wheelchair users |
—
|
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 users | Statement: [Porter, accessibleFor, wheelchair users]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibleFor Context triple: [Porter, accessibleFor, wheelchair users]
-
A.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
B.
hasAccessTo
chosen
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
C.
publicAccess
Indicates that something is available for use, entry, or viewing by the general public without special restrictions or permissions.
-
D.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
E.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246d794448190bb2844fcd0538eaa |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24657635881908f3415bc1bdfa1b5 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.