Triple
T31421359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A7 motorway (Germany) |
E801536
|
entity |
| Predicate | terminusNearCity |
P137070
|
FINISHED |
| Object | Füssen |
—
|
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: Füssen | Statement: [A7 motorway (Germany), terminusNearCity, Füssen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusNearCity Context triple: [A7 motorway (Germany), terminusNearCity, Füssen]
-
A.
terminusNearbySettlement
chosen
Indicates that a transportation terminus (such as a station or terminal) is located close to a particular settlement.
-
B.
nearbyTerminus
Indicates that one terminus (end point or final stop) is located close to another terminus in space.
-
C.
terminusCity
Indicates that a transportation route or service ends or has its final stop in a particular city.
-
D.
terminusWestNear
Indicates that the western terminus of one entity is located near the western terminus of another entity.
-
E.
terminusSouthNear
Indicates that the southern end or terminus of one entity is located close to another entity.
- F. None of above.
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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 30, 2026, 8:48 p.m.