Triple
T1358039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam–Arnhem railway |
E29033
|
entity |
| Predicate | formsPartOfNetwork |
P840
|
FINISHED |
| Object | Dutch national 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: Dutch national railway network | Statement: [Amsterdam–Arnhem railway, formsPartOfNetwork, Dutch national railway network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfNetwork Context triple: [Amsterdam–Arnhem railway, formsPartOfNetwork, Dutch national railway network]
-
A.
branchNetwork
Indicates that one entity operates as a branch or local outlet within the wider organizational or operational network of another entity.
-
B.
operatesNetwork
Indicates that an entity manages, controls, or runs the functioning of a network.
-
C.
network
Indicates that one entity is connected to or interacts with another through a system of relationships, communication, or information exchange.
-
D.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
E.
partOfSystem
chosen
Indicates that one entity functions as a component or subsystem within the structure or organization of 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.