Triple
T17368445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autobahn A7 |
E422245
|
entity |
| Predicate | hasRouteNumber |
P1864
|
FINISHED |
| Object | A7 |
E228222
|
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: A7 | Statement: [Autobahn A7, hasRouteNumber, A7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A7 Context triple: [Autobahn A7, hasRouteNumber, A7]
-
A.
A7
A7 is the two-character IATA airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
-
B.
A7
chosen
A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
-
C.
A70
The A70 is a major road in Scotland that connects Edinburgh with Ayr, passing through several towns and rural areas along its route.
-
D.
A71
A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
-
E.
A73
A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6790448190a24047523a019f81 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.