Triple
T13573256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinterrhein |
E324216
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object | A13 motorway |
—
|
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: A13 motorway | Statement: [Hinterrhein, crossedBy, A13 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A13 motorway Context triple: [Hinterrhein, crossedBy, A13 motorway]
-
A.
A13 motorway
The A13 motorway is a major French highway connecting Paris to Normandy, serving as a key route for both commuter and long-distance traffic.
-
B.
A13 motorway
The A13 motorway is a major Portuguese highway that runs through central Portugal, providing an important north–south route that helps bypass Lisbon and connects regions such as Santarém and Coimbra.
-
C.
A13 motorway
The A13 motorway is a major Dutch highway connecting The Hague and Rotterdam, serving as a key route in the Randstad region.
-
D.
A13 motorway
The A13 motorway is a major German autobahn in eastern Germany that links Berlin with the Dresden region, serving as an important north–south transport corridor.
-
E.
A13 motorway
chosen
The A13 motorway is a major Swiss highway running along the Rhine Valley, connecting the St. Margrethen area to key regions in eastern and southeastern Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0106cb48190b20eb9bda131a68a |
completed | April 12, 2026, 2:45 p.m. |
Created at: April 9, 2026, 9:48 p.m.