Triple
T29811153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport residential towers |
E756965
|
entity |
| Predicate | transportationAccessibility |
P149690
|
FINISHED |
| Object | walkable to PATH and light rail |
—
|
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: walkable to PATH and light rail | Statement: [Newport residential towers, transportationAccessibility, walkable to PATH and light rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationAccessibility Context triple: [Newport residential towers, transportationAccessibility, walkable to PATH and light rail]
-
A.
wheelchairAccessibility
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
-
B.
transportModeAccess
Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
-
C.
transportAccessType
Indicates the type or mode of transportation access available or used in a given context.
-
D.
accessibleByPublicTransport
chosen
Indicates that a location or entity can be reached using public transportation services such as buses, trains, or trams.
-
E.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 29, 2026, 5:23 p.m.