Triple
T11163027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute A4 |
E264086
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Autoroute A3 |
E822936
|
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 A3 | Statement: [Autoroute A4, hasJunctionWith, Autoroute A3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autoroute A3 Context triple: [Autoroute A4, hasJunctionWith, Autoroute A3]
-
A.
Autoroute A3
chosen
Autoroute A3 is a short French motorway in the Île-de-France region that connects Paris to its northeastern suburbs and links with major routes such as the A1 and A86.
-
B.
Autoroute A5
Autoroute A5 is a major French motorway that connects the Paris region to the east of the country, serving as an important route toward Troyes and beyond.
-
C.
Autoroute A31
Autoroute A31 is a major French motorway in eastern France that connects the Burgundy region to Lorraine and Luxembourg, serving as a key north–south transit corridor.
-
D.
Autoroute A35
Autoroute A35 is a major French motorway in the Alsace region that runs roughly north–south, connecting the German and Swiss borders via Strasbourg.
-
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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8832fe88190a74d81f9ed547baa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b795f7948190a0dd53e8e034fe58 |
completed | April 20, 2026, 5:20 a.m. |
Created at: April 8, 2026, 9:29 p.m.