Triple
T16714340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Minister of War |
E406184
|
entity |
| Predicate | existedInFormOf |
P35873
|
FINISHED |
| Object | monarchical government of France |
—
|
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: monarchical government of France | Statement: [French Minister of War, existedInFormOf, monarchical government of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: existedInFormOf Context triple: [French Minister of War, existedInFormOf, monarchical government of France]
-
A.
existedAs
chosen
Indicates that one entity had the status, form, or identity of another entity during a certain time or context.
-
B.
takesFormOf
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
C.
existedUnder
Indicates that one entity existed within the authority, jurisdiction, or domain of another entity during a certain period.
-
D.
existedAfter
Indicates that one entity came into existence only after another entity already existed.
-
E.
extantForm
Indicates that a given entity currently exists in a particular form or manifestation.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38654ee4c8190abf36c29d6610a96 |
completed | April 18, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.