Triple
T25465767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Hungarian Republic |
E638166
|
entity |
| Predicate | foreignOccupationDuringPeriod |
P158570
|
FINISHED |
| Object | Romanian occupation of parts of 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: Romanian occupation of parts of Hungary | Statement: [First Hungarian Republic, foreignOccupationDuringPeriod, Romanian occupation of parts of Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignOccupationDuringPeriod Context triple: [First Hungarian Republic, foreignOccupationDuringPeriod, Romanian occupation of parts of Hungary]
-
A.
historicalHolderOccupation
Indicates that an entity historically held a particular occupation or professional role.
-
B.
historicalOccupationPattern
Indicates a recurring or characteristic pattern in the occupations held by an entity or its members over historical periods.
-
C.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
D.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
E.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f74c5df88190a683cddba03a7afe |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:14 p.m.