Triple
T67365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the French Republic |
E1342
|
entity |
| Predicate | officeAbolishedIn |
P133
|
FINISHED |
| Object | 1852 |
—
|
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: 1852 | Statement: [President of the French Republic, officeAbolishedIn, 1852]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAbolishedIn Context triple: [President of the French Republic, officeAbolishedIn, 1852]
-
A.
dissolvedOrAbolished
chosen
Indicates that an organization, institution, or formal entity has been officially terminated, disbanded, or ceased to exist.
-
B.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
-
C.
officeInvolved
Indicates that a particular office or organizational unit is involved or participates in a specified event, action, or relationship.
-
D.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2509b5a088190bb9d2b650aeb8bca |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ea749788190bc17865171ff909a |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.