Triple
T20319172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arundel railway station |
E492160
|
entity |
| Predicate | isRegionalStation |
P80911
|
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: [Arundel railway station, isRegionalStation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRegionalStation Context triple: [Arundel railway station, isRegionalStation, yes]
-
A.
isRegional
Indicates that something pertains to, is characteristic of, or is limited to a specific geographic region or area.
-
B.
isLocalStation
chosen
Indicates that a station operates primarily within a limited local area or serves as a stop on a local (rather than regional or long-distance) service.
-
C.
isOneOfMajorStationsIn
Indicates that a station belongs to the set of primary or most important stations within a specified area or system.
-
D.
isRegionalDestination
Indicates that a place serves as a primary travel or attraction target within a specific geographic region.
-
E.
isRegion
Indicates that one entity functions as a geographic or administrative region associated with 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b23a0788190bf1853ef5b81823f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:20 a.m.