Triple
T2007148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French republicanism |
E43611
|
entity |
| Predicate | supportsFormOfState |
P35102
|
FINISHED |
| Object | unitary republic |
—
|
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: unitary republic | Statement: [French republicanism, supportsFormOfState, unitary republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFormOfState Context triple: [French republicanism, supportsFormOfState, unitary republic]
-
A.
supportsValidationOf
Indicates that one entity provides the mechanisms or conditions necessary for another entity to be checked or verified for correctness or compliance.
-
B.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
C.
isStateSupported
Indicates that a particular state or condition is recognized, allowed, or handled within a given system or context.
-
D.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
-
E.
governmentFormOfRuledState
Indicates the type of governmental system or structure by which a particular state or territory is ruled.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8999e108190a07daa01452a5dab |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:37 p.m.