Triple
T11277893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elector Palatine |
E266982
|
entity |
| Predicate | lostInfluenceAfter |
P19098
|
FINISHED |
| Object | dissolution of the Holy Roman Empire in 1806 |
—
|
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: dissolution of the Holy Roman Empire in 1806 | Statement: [Elector Palatine, lostInfluenceAfter, dissolution of the Holy Roman Empire in 1806]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostInfluenceAfter Context triple: [Elector Palatine, lostInfluenceAfter, dissolution of the Holy Roman Empire in 1806]
-
A.
hasSubsequentInfluence
chosen
Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
-
B.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
C.
spinOffInfluence
Indicates that one entity has influenced the creation, direction, or characteristics of another entity that is derived from it as a spin-off.
-
D.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
E.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e967ebb4819080b09ed3cec44e77 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.