Triple
T16808471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A12 |
E408539
|
entity |
| Predicate | languageVariantName |
P20733
|
FINISHED |
| Object | Autoroute A12 |
E905375
|
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: Autoroute A12 | Statement: [A12, languageVariantName, Autoroute A12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autoroute A12 Context triple: [A12, languageVariantName, Autoroute A12]
-
A.
Autoroute A12
chosen
Autoroute A12 is a short French motorway in the Île-de-France region that connects the A13 to the western suburbs of Paris.
-
B.
Autoroute A19
Autoroute A19 is a French motorway in central France that serves as an important east–west bypass of Paris, linking several major autoroutes and facilitating long-distance transit traffic.
-
C.
Autoroute A10
Autoroute A10 is a major French motorway linking Paris to the southwest of France, including cities such as Orléans, Tours, and Bordeaux.
-
D.
Autoroute A13
Autoroute A13 is a major French motorway linking Paris to Normandy, serving as one of the country’s oldest and most heavily used expressways.
-
E.
Autoroute A29
Autoroute A29 is a major French motorway in northern France that forms part of the European route network, linking several key coastal and inland cities.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cde590819080dc474292b023ee |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c79a96408190ab01ccd144f3fade |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:22 a.m.