Triple
T11315985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidstone Barracks railway station |
E267965
|
entity |
| Predicate | isSmallStation |
P41103
|
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: [Maidstone Barracks railway station, isSmallStation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallStation Context triple: [Maidstone Barracks railway station, isSmallStation, yes]
-
A.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
B.
isSmall
chosen
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
C.
hasLowerStation
Indicates that one entity occupies a lower rank, status, or position in a hierarchy relative to another entity.
-
D.
isPassengerStationFor
Indicates that a station serves as a boarding and alighting point for passengers on a particular transportation line or service.
-
E.
isUrbanStation
Indicates that a station is located in an urban area or serves an urban environment.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.