Triple
T8583399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrow Cross coup |
E203240
|
entity |
| Predicate | significantConsequences |
P42250
|
FINISHED |
| Object | mass persecution of Jews 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: mass persecution of Jews in Hungary | Statement: [Arrow Cross coup, significantConsequences, mass persecution of Jews in Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantConsequences Context triple: [Arrow Cross coup, significantConsequences, mass persecution of Jews in Hungary]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
significantAfter
Indicates that one event or state occurs after another in a way that is temporally meaningful or non-trivially later, not just immediately or insignificantly afterward.
-
C.
majorImpact
chosen
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
D.
significantAction
Indicates that an action taken by an entity is of notable importance or consequence within a given context or process.
-
E.
significantLoss
Indicates that an entity has experienced a major or substantial decrease in value, quantity, or status beyond a normal or minor loss.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1d0edc8190b4495935275252f3 |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.