Triple
T13426195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally Finland |
E313487
|
entity |
| Predicate | cityCenterStage |
P109864
|
FINISHED |
| Object | Harju stage in Jyväskylä |
—
|
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: Harju stage in Jyväskylä | Statement: [Rally Finland, cityCenterStage, Harju stage in Jyväskylä]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityCenterStage Context triple: [Rally Finland, cityCenterStage, Harju stage in Jyväskylä]
-
A.
notableCityCenter
Indicates that a location serves as a prominent or significant central area within a city.
-
B.
cityCentreAccess
Indicates whether an entity has access to, or is reachable within, the central area of a city.
-
C.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
-
D.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
E.
citySide
Indicates that one entity is located on or along a particular side or edge of a city relative to another reference point.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:40 p.m.