Triple
T7930137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vine on Fourth Plain |
E184167
|
entity |
| Predicate | hasTransitPriority |
P5323
|
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: [The Vine on Fourth Plain, hasTransitPriority, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitPriority Context triple: [The Vine on Fourth Plain, hasTransitPriority, yes]
-
A.
hasTramPriority
Indicates that trams are given precedence over other traffic in movement or right-of-way.
-
B.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
C.
hasPriorityAtJunctions
Indicates that one entity is granted precedence or right-of-way over others when passing through junctions or intersections.
-
D.
transportPriority
Indicates that one entity is assigned a higher or specific level of precedence over others in being transported or moved.
-
E.
hasTransitFocus
chosen
Indicates that something is oriented toward, prioritizes, or is primarily concerned with transit or transportation services.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acb6cb88190b4f31b7091881241 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:07 p.m.