Triple
T7179070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wembley Stadium railway station |
E167397
|
entity |
| Predicate | isEventFocusedStation |
P49518
|
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: [Wembley Stadium railway station, isEventFocusedStation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEventFocusedStation Context triple: [Wembley Stadium railway station, isEventFocusedStation, yes]
-
A.
hasFocalStations
chosen
Indicates that an entity is associated with one or more primary or central stations that serve as its main points of focus or operation.
-
B.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
C.
eventFocus
Indicates that a particular event is the primary subject of attention, analysis, or relevance within a given context or dataset.
-
D.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
E.
isUrbanStation
Indicates that a station is located in an urban area or serves an urban environment.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.