Triple
T2247105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A86 autoroute |
E49528
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | A10 autoroute |
E257042
|
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: A10 autoroute | Statement: [A86 autoroute, hasJunctionWith, A10 autoroute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A10 autoroute Context triple: [A86 autoroute, hasJunctionWith, A10 autoroute]
-
A.
A1 autoroute
The A1 autoroute is a major French motorway connecting Paris to Lille and serving key locations such as Charles de Gaulle Airport and the northern suburbs.
-
B.
A3 autoroute
The A3 autoroute is a short French motorway in the Île-de-France region that connects Paris to its northeastern suburbs and links major radial routes around the capital.
-
C.
A86 autoroute
The A86 autoroute is a major ring road around Paris, France, designed to relieve congestion on the city’s inner highways by linking numerous suburbs and key transport hubs.
-
D.
Autoroute A10
chosen
Autoroute A10 is a major French motorway linking Paris to the southwest of France, including cities such as Orléans, Tours, and Bordeaux.
-
E.
Autoroute A4
Autoroute A4 is a major French motorway linking Paris to the eastern regions of France and onward toward Germany, serving as a key corridor for both passenger and freight traffic.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ec46b08190ae12de8b255eb71d |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf266ed881909206c87c69a2ea95 |
completed | March 10, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:47 p.m.