Triple
T6999790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of the Kingdom of Hungary |
E162305
|
entity |
| Predicate | wasInForceDuring |
P73498
|
FINISHED |
| Object | interwar period in Hungary |
—
|
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: interwar period in Hungary | Statement: [Regent of the Kingdom of Hungary, wasInForceDuring, interwar period in Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasInForceDuring Context triple: [Regent of the Kingdom of Hungary, wasInForceDuring, interwar period in Hungary]
-
A.
enactedDuring
Indicates that an action, event, or state occurred within the temporal span of a specified time period or event.
-
B.
inForceSince
Indicates that a rule, law, agreement, or condition has been officially in effect starting from a specified date or time.
-
C.
remainedInForceUntil
Indicates that a rule, condition, or state continued to be valid or effective up to a specified point in time.
-
D.
cameIntoForceInYear
Indicates that a law, agreement, or formal measure became legally effective or operational in a specified calendar year.
-
E.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
- 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_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. |
| PDg | Predicate description generation | batch_69c6d8c575f081908b43d95d1d99b1a4 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:33 p.m.