Triple
T18199859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian orthography |
E435753
|
entity |
| Predicate | currentRulebookEdition |
P13927
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Hungarian orthography, currentRulebookEdition, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentRulebookEdition Context triple: [Hungarian orthography, currentRulebookEdition, 12]
-
A.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
B.
updatedEdition
Indicates that one entity is a newer or revised edition of another entity.
-
C.
currentRuler
Indicates that one entity is the present reigning ruler or head of state of another entity (such as a country, region, or polity).
-
D.
currentVersionAdopted
chosen
Indicates that a specified version is the one presently in use or officially adopted by the relevant entity or system.
-
E.
citesEdition
Indicates that one work references or acknowledges a specific edition of another work as its source.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d610f88190b4f69b1c433ea6b1 |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.