Triple
T6999802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of the Kingdom of Hungary |
E162305
|
entity |
| Predicate | wasMonarchicInForm |
P8695
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Regent of the Kingdom of Hungary, wasMonarchicInForm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMonarchicInForm Context triple: [Regent of the Kingdom of Hungary, wasMonarchicInForm, true]
-
A.
monarchyStatus
chosen
Indicates whether an entity is a monarchy and, if so, what specific monarchical status or type it holds.
-
B.
monarchyEstablished
Indicates that a monarchical form of government has been formally created or instituted for a given entity or territory.
-
C.
governingMonarchyAtCreation
Indicates the monarchy that held governing authority over an entity at the time the entity was created.
-
D.
monarchy
Indicates a system of governance in which supreme authority is vested in a single ruler, typically a king or queen, whose position is usually hereditary.
-
E.
locatedInMonarchicState
Indicates that an entity is situated within the territory or jurisdiction of a state governed by a monarchy.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.