Triple
T15923893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheufele family |
E386157
|
entity |
| Predicate | connectionToCountry |
P99274
|
FINISHED |
| Object | strong ties to Switzerland |
—
|
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: strong ties to Switzerland | Statement: [Scheufele family, connectionToCountry, strong ties to Switzerland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectionToCountry Context triple: [Scheufele family, connectionToCountry, strong ties to Switzerland]
-
A.
connectsCountryOrRegion
chosen
Indicates that one entity establishes a connection, link, or association to a specific country or region.
-
B.
connectsCountryDirection
Indicates that one country is geographically connected to another in a specified cardinal or relative direction (e.g., north, south, east, west).
-
C.
accessCountry
Indicates that an entity has access to, operates within, or is associated with activities in a specified country.
-
D.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
E.
coordinateCountry
Indicates that one country serves as the coordinating or lead country in a joint activity, project, or organizational context involving multiple countries.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.