Triple
T5707031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sørlandet Line |
E125808
|
entity |
| Predicate | linksCapitalToRegion |
P59960
|
FINISHED |
| Object | Oslo to southern coastal region |
—
|
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: Oslo to southern coastal region | Statement: [Sørlandet Line, linksCapitalToRegion, Oslo to southern coastal region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linksCapitalToRegion Context triple: [Sørlandet Line, linksCapitalToRegion, Oslo to southern coastal region]
-
A.
hasHeadquartersInRegion
Indicates that an organization’s main administrative or corporate headquarters is located within a specified geographic region.
-
B.
countryCapitalRegion
Indicates that a specified region is the capital region (administrative capital area) of a given country.
-
C.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
-
D.
coversNationalCapitalRegion
Indicates that something’s scope, area, or applicability includes the National Capital Region.
-
E.
shareMajorCityRegion
chosen
Indicates that two entities are associated with the same major city or its surrounding metropolitan region.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.