Triple
T25131942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Senate of France in 2008 |
E629544
|
entity |
| Predicate | termIncludesYear |
P109569
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [President of the Senate of France in 2008, termIncludesYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termIncludesYear Context triple: [President of the Senate of France in 2008, termIncludesYear, 2008]
-
A.
includesYear
chosen
Indicates that one entity contains, references, or is associated with a specific calendar year as part of its information or scope.
-
B.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
C.
titleYear
Indicates the specific year associated with the release, publication, or official designation of a given title.
-
D.
catalogueInclusionYear
Indicates the year in which an item was first included or recorded in a catalogue.
-
E.
doesNotIncludeYear
Indicates that something is specified or presented without including a year component.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:28 a.m.