Triple
T31790564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmbanan |
E811450
|
entity |
| Predicate | hasCrossBorderSection |
P173239
|
FINISHED |
| Object | Sweden–Norway border |
—
|
NE NERFINISHED |
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: Sweden–Norway border | Statement: [Malmbanan, hasCrossBorderSection, Sweden–Norway border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossBorderSection Context triple: [Malmbanan, hasCrossBorderSection, Sweden–Norway border]
-
A.
hasCrossBorderArea
Indicates that an entity is associated with or spans a geographic area that extends across national or jurisdictional borders.
-
B.
crossBorderSection
chosen
Indicates a section or segment that extends across or passes from one jurisdiction, region, or country into another.
-
C.
haveCrossBorderCorridor
Indicates that there exists a designated corridor or route enabling movement or interaction across a national or regional border between the related entities.
-
D.
hasCrossBorderCenter
Indicates that an entity operates or is associated with a center whose activities, services, or scope extend across national borders.
-
E.
hasCrossBorderInteraction
Indicates that there is an interaction, activity, or relationship occurring between entities located in different countries or jurisdictions.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 30, 2026, 11:39 p.m.