Triple
T20258103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollandsche IJzeren Spoorweg-Maatschappij |
E498755
|
entity |
| Predicate | operatedStationsIn |
P139428
|
FINISHED |
| Object | western Netherlands |
—
|
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: western Netherlands | Statement: [Hollandsche IJzeren Spoorweg-Maatschappij, operatedStationsIn, western Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedStationsIn Context triple: [Hollandsche IJzeren Spoorweg-Maatschappij, operatedStationsIn, western Netherlands]
-
A.
operatedStation
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
B.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
C.
oftenOperatedBy
Indicates that an entity is frequently or typically operated, controlled, or run by another entity.
-
D.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
E.
operatedBetweenStations
Indicates that an operation, such as a service or route, took place connecting or running between two specified stations.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c7296c819092860942de8f28d5 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.