Triple
T22697942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskö naval base |
E561235
|
entity |
| Predicate | MusköTunnelLocation |
P149360
|
FINISHED |
| Object | under the Baltic Sea |
—
|
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: under the Baltic Sea | Statement: [Muskö naval base, MusköTunnelLocation, under the Baltic Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MusköTunnelLocation Context triple: [Muskö naval base, MusköTunnelLocation, under the Baltic Sea]
-
A.
WestTunnelConnectsTo
Indicates that a tunnel located to the west is directly connected to another specified structure or passage.
-
B.
drainageTunnelConstructedIn
Indicates that a drainage tunnel was built or established within a specific location or administrative area.
-
C.
SeikanTunnelConnects
Indicates that the Seikan Tunnel serves as a physical connection between two geographic locations or regions.
-
D.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
E.
roadTunnelOpeningYear
Indicates the calendar year in which a road tunnel was officially opened for use.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178a008448190b393335704128fe8 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:14 p.m.