Triple
T15501372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solna centrum |
E378960
|
entity |
| Predicate | hasPlatformTracks |
P843
|
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: [Solna centrum, hasPlatformTracks, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformTracks Context triple: [Solna centrum, hasPlatformTracks, 2]
-
A.
hasNumberOfPlatforms
chosen
Indicates the relationship that specifies how many platforms are associated with a given entity.
-
B.
hasPlatformNumber
Indicates that a location or service is associated with a specific platform identified by a platform number.
-
C.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
D.
hasTrackFeatures
Indicates that something possesses or is associated with specific track-related characteristics or attributes.
-
E.
hasSidePlatformCount
Indicates the number of side platforms associated with an entity, such as a station or stop.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:54 a.m.