Triple
T30520619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walmer railway station |
E776682
|
entity |
| Predicate | isInNationalRailSystem |
P82952
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Walmer railway station, isInNationalRailSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNationalRailSystem Context triple: [Walmer railway station, isInNationalRailSystem, true]
-
A.
isInNationalRailTimetable
Indicates that something is included as an entry or service in the official National Rail timetable.
-
B.
hasNationalRailCategory
Indicates that an entity is assigned a specific classification or category within a national rail system.
-
C.
isNationalRailwaySystemOf
Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
-
D.
hasNationalRailService
chosen
Indicates that a place or facility is served by a country's national rail transportation network.
-
E.
isRailwayStationInNetwork
Indicates that a railway station belongs to, and is served as part of, a particular railway network.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68809fa4c8190b7477043dd360dc2 |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:17 p.m.