Triple
T15076166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lymington Pier railway station |
E380005
|
entity |
| Predicate | hasNationalRailEnquiryPage |
P117217
|
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: [Lymington Pier railway station, hasNationalRailEnquiryPage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalRailEnquiryPage Context triple: [Lymington Pier railway station, hasNationalRailEnquiryPage, true]
-
A.
hasNationalRailService
Indicates that a place or facility is served by a country's national rail transportation network.
-
B.
hasNationalRailCategory
Indicates that an entity is assigned a specific classification or category within a national rail system.
-
C.
hasNationalRailPlatforms
Indicates that an entity possesses one or more platforms used by the national rail network for train services.
-
D.
isInNationalRailTimetable
Indicates that something is included as an entry or service in the official National Rail timetable.
-
E.
isNationalRailwaySystemOf
Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
- F. None of above. chosen
Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:02 a.m.