Triple
T16533226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich–Nuremberg high-speed railway |
E401618
|
entity |
| Predicate | hasBridgeAndTunnelStructures |
P123927
|
FINISHED |
| Object | multiple railway bridges |
—
|
LITERAL 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: multiple railway bridges | Statement: [Munich–Nuremberg high-speed railway, hasBridgeAndTunnelStructures, multiple railway bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBridgeAndTunnelStructures Context triple: [Munich–Nuremberg high-speed railway, hasBridgeAndTunnelStructures, multiple railway bridges]
-
A.
hasBridgeTunnel
Indicates that there exists a bridge or tunnel connection between two locations or structures.
-
B.
hasBridgeUnderpasses
Indicates that one structure, typically a bridge, includes or provides underpasses that allow passage beneath it.
-
C.
hasBridgeOrStructure
Indicates that there exists a bridge or similar structural connection between the related entities.
-
D.
hasRailBridge
Indicates that one location or structure is connected to another by a bridge specifically designed to carry railway tracks or trains.
-
E.
hasBridgeCrossings
Indicates that one entity has one or more bridge structures that span across or connect over another entity (such as a road, river, or area).
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.