Triple
T717194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel–Saint-Louis crossing |
E14339
|
entity |
| Predicate | hasBorderFunction |
P10963
|
FINISHED |
| Object | road border checkpoint |
—
|
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: road border checkpoint | Statement: [Basel–Saint-Louis crossing, hasBorderFunction, road border checkpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderFunction Context triple: [Basel–Saint-Louis crossing, hasBorderFunction, road border checkpoint]
-
A.
hasBorderCrossingFunction
chosen
Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
-
B.
hasBorderLocality
Indicates that one locality is situated along or adjacent to the border of another locality.
-
C.
hasBorderFacilityType
Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
-
D.
hasBoundaryFeature
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
-
E.
hasBoundaryType
Indicates that one entity has a boundary characterized by a specific type or classification in relation to another entity or context.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a57649dc8190bfdee2f9c0c90415 |
completed | March 1, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f38898819089d79bad4f4ff2d2 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.