Triple
T14471980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dijon tramway |
E358866
|
entity |
| Predicate | hasPriorityAtIntersections |
P63603
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dijon tramway, hasPriorityAtIntersections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPriorityAtIntersections Context triple: [Dijon tramway, hasPriorityAtIntersections, true]
-
A.
hasPriorityAtJunctions
chosen
Indicates that one entity is granted precedence or right-of-way over others when passing through junctions or intersections.
-
B.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
C.
hasTramPriority
Indicates that trams are given precedence over other traffic in movement or right-of-way.
-
D.
hasMajorCrossing
Indicates that one entity has a significant or primary intersection or crossing with another entity.
-
E.
hasRightOfWay
Indicates that one entity is entitled to proceed or act before another in a shared space or interaction, without having to yield.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fab21c819090b6e209d8efba6e |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.