Triple
T18410928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monti government |
E441753
|
entity |
| Predicate | remainedInOfficeAs |
P131509
|
FINISHED |
| Object | caretaker government |
—
|
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: caretaker government | Statement: [Monti government, remainedInOfficeAs, caretaker government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainedInOfficeAs Context triple: [Monti government, remainedInOfficeAs, caretaker government]
-
A.
succeededInOffice
Indicates that one officeholder directly followed another in holding the same official position.
-
B.
remainedInForceUntil
Indicates that a rule, condition, or state continued to be valid or effective up to a specified point in time.
-
C.
servedInOfficeTo
Indicates that one entity held and performed the duties of a particular office or position for the benefit or under the authority of another entity.
-
D.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
E.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5195df3288190be61f4053476c735 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:47 a.m.