Triple
T10376119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Télépéage |
E244511
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | APRR Télépéage |
E240301
|
NE 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: APRR Télépéage | Statement: [Télépéage, hasBrand, APRR Télépéage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APRR Télépéage Context triple: [Télépéage, hasBrand, APRR Télépéage]
-
A.
Vinci Autoroutes
chosen
Vinci Autoroutes is a major French motorway concession and operating company that manages and maintains large sections of the national toll road network.
-
B.
ETC
ETC is a technology company specializing in simulation, training, and environmental control systems for aerospace, military, and industrial applications.
-
C.
FasTrak
FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
-
D.
E-ZPass
E-ZPass is an electronic toll collection system widely used on highways and bridges across the eastern United States, allowing drivers to pay tolls automatically without stopping.
-
E.
ETC (Electronic Toll Collection)
ETC (Electronic Toll Collection) is a Japanese electronic toll payment system that allows vehicles to automatically pay highway and expressway tolls without stopping at toll booths.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98278e08190a4d3ff88b4039e49 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795754570819093747f80e32fffce |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:02 p.m.