Triple
T15292355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VAL |
E365558
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Véhicule Automatique Léger |
E365558
|
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: Véhicule Automatique Léger | Statement: [VAL, fullName, Véhicule Automatique Léger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Véhicule Automatique Léger Context triple: [VAL, fullName, Véhicule Automatique Léger]
-
A.
VAL (Véhicule Automatique Léger)
chosen
VAL (Véhicule Automatique Léger) is a fully automated, driverless light metro system widely used in urban public transit networks.
-
B.
Alstom Citadis tram
The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
-
C.
Tramway T13 Express
Tramway T13 Express is a regional express tram-train line in the Île-de-France area that connects suburban communities with Paris’s wider public transport network.
-
D.
Orlyval automated shuttle
The Orlyval automated shuttle is a driverless light rail service in the Paris region that links Antony RER station with Orly Airport.
-
E.
Tramway T2
Tramway T2 is a Paris-region light rail line connecting La Défense to Porte de Versailles via western suburbs such as Saint-Cloud.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.