Triple
T9064063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | László Bárdossy |
E217198
|
entity |
| Predicate | heldDiplomaticPost |
P2921
|
FINISHED |
| Object | Hungarian envoy to Romania |
—
|
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: Hungarian envoy to Romania | Statement: [László Bárdossy, heldDiplomaticPost, Hungarian envoy to Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldDiplomaticPost Context triple: [László Bárdossy, heldDiplomaticPost, Hungarian envoy to Romania]
-
A.
diplomaticRole
chosen
Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
-
B.
typeOfDiplomaticRole
Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
-
C.
hadMinisterialPost
Indicates that an entity has held or occupied a ministerial government position or office.
-
D.
heldPoliticalOfficeIn
Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
-
E.
hasDiplomaticRankHead
Indicates that an entity serving as a head (e.g., of a mission or organization) holds a specific diplomatic rank.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bb26588190b7d6f2d70819e86f |
completed | April 1, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.