Triple
T31876823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Level station |
E813765
|
entity |
| Predicate | servesStationComplex |
P142764
|
FINISHED |
| Object | Glasgow Queen Street railway station |
—
|
NE NERFINISHED |
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: Glasgow Queen Street railway station | Statement: [High Level station, servesStationComplex, Glasgow Queen Street railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesStationComplex Context triple: [High Level station, servesStationComplex, Glasgow Queen Street railway station]
-
A.
servesStationType
Indicates that an entity provides service to, or operates in connection with, a particular type or category of station.
-
B.
servesComplex
chosen
Indicates that one entity provides service or functionality to another entity in a multifaceted or non-trivial manner.
-
C.
stationComplex
Indicates a relationship where one entity is a station complex that encompasses or is associated with another station-related entity.
-
D.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
E.
servesStage
Indicates that an entity functions as a stage or phase within a larger process, sequence, or workflow.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
Created at: April 30, 2026, 11:55 p.m.