Triple
T21269610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First North Western |
E524219
|
entity |
| Predicate | operatedStations |
P42386
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [First North Western, operatedStations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedStations Context triple: [First North Western, operatedStations, yes]
-
A.
operatedStationsIn
Indicates that an entity managed or ran the operations of one or more stations within a specified area or system.
-
B.
operatedStation
chosen
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
C.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
D.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
E.
oftenOperatedBy
Indicates that an entity is frequently or typically operated, controlled, or run by 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:01 p.m.