Triple
T9109323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1928 Winter Olympics |
E218554
|
entity |
| Predicate | openingByOffice |
P86541
|
FINISHED |
| Object | President of the Swiss Confederation |
—
|
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: President of the Swiss Confederation | Statement: [1928 Winter Olympics, openingByOffice, President of the Swiss Confederation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingByOffice Context triple: [1928 Winter Olympics, openingByOffice, President of the Swiss Confederation]
-
A.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
B.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
C.
officeStartFor
Indicates the time or date at which an entity begins its term, role, or period of service in an office or official position.
-
D.
openingDetail
Indicates the specific manner, context, or characteristics of how an opening (such as a beginning, start, or initial access point) occurs or is carried out between entities.
-
E.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
- F. None of above. chosen
Provenance (4 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca845d9b0819084230e7cdd92dee0 |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:16 p.m.