Triple
T7754860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center Drive |
E175865
|
entity |
| Predicate | isOpenToPedestrians |
P25669
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Center Drive, isOpenToPedestrians, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOpenToPedestrians Context triple: [Center Drive, isOpenToPedestrians, yes]
-
A.
hasPedestrianAccessTo
chosen
Indicates that a location or area can be reached or entered safely and directly by people on foot.
-
B.
pedestriansCanCross
Indicates that pedestrians are permitted or able to cross from one side of a specified location or path to the other.
-
C.
pedestrianRestrictions
Indicates that there are specific rules or limitations governing where or how pedestrians may travel or access an area.
-
D.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
E.
hasPedestrianZoneStatus
Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.