Triple
T2746978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Malmaison |
E60892
|
entity |
| Predicate | governmentFunctionPeriod |
P38454
|
FINISHED |
| Object | 1799–1802 |
—
|
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: 1799–1802 | Statement: [Château de Malmaison, governmentFunctionPeriod, 1799–1802]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFunctionPeriod Context triple: [Château de Malmaison, governmentFunctionPeriod, 1799–1802]
-
A.
timePeriodAsGovernmentSeat
chosen
Indicates the span of time during which a particular place functioned as the official seat of a government.
-
B.
governmentDuringTerm
Indicates that a particular government is the one in power during a specified officeholder’s term.
-
C.
governmentalFunction
Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
-
D.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
E.
timePeriodAsSeatOfGovernmentEnd
Indicates the point in time when a particular location ceases to serve as the seat of government for an 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4ed6bc8190876c1d188b97692b |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.