Triple
T18034066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Resurrection of Hungary |
E431459
|
entity |
| Predicate | proposesModelBasedOn |
P41880
|
FINISHED |
| Object | Hungary’s constitutional relationship with Austria |
—
|
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: Hungary’s constitutional relationship with Austria | Statement: [The Resurrection of Hungary, proposesModelBasedOn, Hungary’s constitutional relationship with Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesModelBasedOn Context triple: [The Resurrection of Hungary, proposesModelBasedOn, Hungary’s constitutional relationship with Austria]
-
A.
possibleModel
chosen
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
B.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
C.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
D.
proposesHypothesis
Indicates that one entity puts forward a tentative explanation or hypothesis for consideration regarding another entity or phenomenon.
-
E.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be38766c8190ae95701f4575469c |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.