Triple
T1713815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmès I caretaker government |
E37243
|
entity |
| Predicate | timeInOfficeIncludes |
P17403
|
FINISHED |
| Object | start of COVID‑19 pandemic in Europe |
—
|
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: start of COVID‑19 pandemic in Europe | Statement: [Wilmès I caretaker government, timeInOfficeIncludes, start of COVID‑19 pandemic in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInOfficeIncludes Context triple: [Wilmès I caretaker government, timeInOfficeIncludes, start of COVID‑19 pandemic in Europe]
-
A.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
B.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
C.
succeededInOffice
Indicates that one officeholder directly followed another in holding the same official position.
-
D.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
E.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.