Triple
T35247156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winsford railway station |
E1017698
|
entity |
| Predicate | hasPlatformLines |
P194721
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Winsford railway station, hasPlatformLines, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformLines Context triple: [Winsford railway station, hasPlatformLines, 2]
-
A.
hasLines
Indicates that one entity contains, is composed of, or is associated with one or more linear elements or line segments.
-
B.
platformLine
Indicates that a platform is associated with, serves, or is aligned along a particular line (such as a transit, rail, or service line).
-
C.
platformsForLine
Indicates that certain platforms are designated to serve or accommodate a particular line (such as a transit, rail, or service line).
-
D.
hasPlatformNumber
Indicates that a location or service is associated with a specific platform identified by a platform number.
-
E.
hasConventionalLinePlatform
Indicates that an entity provides or is associated with a platform specifically designated for conventional (non-high-speed or standard) railway lines.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
| PDg | Predicate description generation | batch_69fd82ebe1c081908455fc45b6e45178 |
completed | May 8, 2026, 6:30 a.m. |
Created at: May 3, 2026, 4:02 p.m.