Triple
T2208362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French autoroute network |
E50854
|
entity |
| Predicate | emergencyLane |
P31631
|
FINISHED |
| Object | present on most sections |
—
|
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: present on most sections | Statement: [French autoroute network, emergencyLane, present on most sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergencyLane Context triple: [French autoroute network, emergencyLane, present on most sections]
-
A.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
B.
hasExpressLanes
Indicates that a roadway or transportation facility includes designated express lanes for faster or prioritized travel.
-
C.
roadUse
Indicates that an entity utilizes or travels on a particular road or roadway for movement or transport.
-
D.
onRoad
Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
-
E.
hasDedicatedLanes
chosen
Indicates that specific lanes within a route or roadway are reserved exclusively for a particular type of traffic or use.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.