Triple
T31421343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A7 motorway (Germany) |
E801536
|
entity |
| Predicate | isLongestAutobahnIn |
P171855
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [A7 motorway (Germany), isLongestAutobahnIn, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLongestAutobahnIn Context triple: [A7 motorway (Germany), isLongestAutobahnIn, Germany]
-
A.
hasLongestRunwayIn
Indicates that an entity possesses the runway of greatest length within a specified location or region.
-
B.
isOneOfLongestHighwaysIn
Indicates that a highway is among the longest highways within a specified geographic region or jurisdiction.
-
C.
isOneOfLongestStreetsIn
Indicates that a street is among the longest streets within a specified area or region.
-
D.
isOneOfLongestNavigableCanalTunnelsIn
Indicates that something ranks among the longest canal tunnels that can be navigated within a specified place or region.
-
E.
isLongestProvincialHighwayIn
Indicates that a given highway is the longest provincial highway within a specified province or region.
- F. None of above. chosen
Provenance (4 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 8:48 p.m.