Triple
T4892092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NS |
E109586
|
entity |
| Predicate | operatesStationFacilities |
P4904
|
FINISHED |
| Object | many Dutch railway stations |
—
|
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: many Dutch railway stations | Statement: [NS, operatesStationFacilities, many Dutch railway stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesStationFacilities Context triple: [NS, operatesStationFacilities, many Dutch railway stations]
-
A.
operatesFacility
chosen
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
-
B.
operatedStation
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
C.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
D.
operatesService
Indicates that an agent runs, manages, or provides a particular service.
-
E.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.