Triple
T6999722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fundamental Law of Hungary |
E162303
|
entity |
| Predicate | belongsToLegalFamily |
P73497
|
FINISHED |
| Object | continental European constitutional tradition |
—
|
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: continental European constitutional tradition | Statement: [Fundamental Law of Hungary, belongsToLegalFamily, continental European constitutional tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToLegalFamily Context triple: [Fundamental Law of Hungary, belongsToLegalFamily, continental European constitutional tradition]
-
A.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
B.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
C.
belongsToFlagFamily
Indicates that one flag is a member of, or classified under, a particular flag family or group.
-
D.
belongsToFamilyCommonName
Indicates that an entity is associated with, or classified under, a particular family-level common name.
-
E.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
- 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.