Triple
T27168109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social law division of the Swiss Federal Supreme Court |
E682830
|
entity |
| Predicate | partOfBody |
P22143
|
FINISHED |
| Object | Bundesgericht (BGer) |
—
|
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: Bundesgericht (BGer) | Statement: [Social law division of the Swiss Federal Supreme Court, partOfBody, Bundesgericht (BGer)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfBody Context triple: [Social law division of the Swiss Federal Supreme Court, partOfBody, Bundesgericht (BGer)]
-
A.
partOfBodyWith
Indicates that one entity is a body part that belongs to, or is physically contained within, another entity.
-
B.
isPartOfBody
Indicates that something forms a physical component or anatomical segment of a living body.
-
C.
seatOfBody
chosen
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
-
D.
hasBodyRegion
Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
-
E.
typicalBodyPart
Indicates that one entity is a body part that is characteristically or normally associated with another entity.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 27, 2026, 9:22 a.m.