Triple
T34317875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potrero Metro Station |
E880643
|
entity |
| Predicate | hasTypeOfAccessibility |
P51863
|
FINISHED |
| Object | partial accessibility |
—
|
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: partial accessibility | Statement: [Potrero Metro Station, hasTypeOfAccessibility, partial accessibility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfAccessibility Context triple: [Potrero Metro Station, hasTypeOfAccessibility, partial accessibility]
-
A.
hasAccessibleAccess
Indicates that an entity provides a form of access that is usable and reachable under defined accessibility conditions or standards.
-
B.
hasTypicalAccessibility
Indicates that something normally has a particular level or type of accessibility or ease of access.
-
C.
hasMemberAccessibility
Indicates that a group, organization, or collection has specific conditions or provisions governing how members can access or participate in it.
-
D.
isAccessible
Indicates that one entity can be reached, used, or entered by another entity without obstruction or restriction.
-
E.
typeOfAccess
chosen
Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:57 a.m.