Triple
T27695375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Bajnai |
E698276
|
entity |
| Predicate | wasSupportedByPoliticalParty |
P4806
|
FINISHED |
| Object | Hungarian Socialist Party |
—
|
NE NERFINISHED |
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 Socialist Party | Statement: [Gordon Bajnai, wasSupportedByPoliticalParty, Hungarian Socialist Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasSupportedByPoliticalParty Context triple: [Gordon Bajnai, wasSupportedByPoliticalParty, Hungarian Socialist Party]
-
A.
wasMajorPartyDuring
Indicates that an entity functioned as a major political party during a specified time period or event.
-
B.
affectedPoliticalParty
Indicates that a political party is impacted or influenced by a particular event, action, policy, or situation.
-
C.
politicalSupporter
chosen
Indicates that one entity supports, endorses, or aligns with the political views, actions, or position of another entity.
-
D.
partnerPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
-
E.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359f02508190911480214dffdc3b |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:54 p.m.