Triple
T17594947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sopron plebiscite of 1921 |
E428544
|
entity |
| Predicate | resultForHungary |
P128147
|
FINISHED |
| Object | retention of Sopron |
—
|
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: retention of Sopron | Statement: [Sopron plebiscite of 1921, resultForHungary, retention of Sopron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultForHungary Context triple: [Sopron plebiscite of 1921, resultForHungary, retention of Sopron]
-
A.
resultInHungary
Indicates that an action, event, or process leads to an outcome that occurs in or pertains specifically to Hungary.
-
B.
chartPositionHungary
Indicates the position or ranking something holds on a music or sales chart specifically in Hungary.
-
C.
frequencyInHungary
Indicates how often something occurs or is present within the context of Hungary.
-
D.
lengthInHungary
Indicates that something has a specified length measured within the context or territory of Hungary.
-
E.
countryDuringKingdomOfHungary
Indicates that a country existed within the territorial or political bounds of the Kingdom of Hungary during a specified historical period.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:51 a.m.