Triple
T5652487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian railway network |
E124536
|
entity |
| Predicate | connectsToForeignNetwork |
P845
|
FINISHED |
| Object | Swedish railway network |
—
|
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: Swedish railway network | Statement: [Norwegian railway network, connectsToForeignNetwork, Swedish railway network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToForeignNetwork Context triple: [Norwegian railway network, connectsToForeignNetwork, Swedish railway network]
-
A.
usesTargetNetwork
Indicates that an entity operates or communicates through a specified target network as its underlying connection or infrastructure.
-
B.
hasPrimaryNetwork
Indicates that an entity is associated with or connected to its main or most important network among potentially multiple networks.
-
C.
connectedToNationalNetworkAt
Indicates that an entity has a direct linkage or access point to a broader national-level network or infrastructure.
-
D.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
sharesBorderingNetworkWith
Indicates that two entities are connected through adjacent or directly neighboring positions within the same network structure.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d8a2588190b10de59edbc8841f |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.