Triple
T35379122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estonian Conservative People’s Party |
E1022594
|
entity |
| Predicate | hasFormerChairman |
P7696
|
FINISHED |
| Object | Mart Helme |
—
|
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: Mart Helme | Statement: [Estonian Conservative People’s Party, hasFormerChairman, Mart Helme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerChairman Context triple: [Estonian Conservative People’s Party, hasFormerChairman, Mart Helme]
-
A.
hasFormerChairperson
chosen
Indicates that an entity previously held the role of chairperson of another entity, but no longer occupies that position.
-
B.
hasFormerViceChairperson
Indicates that an entity previously held the role of vice chairperson of another entity.
-
C.
hasChairmanIn
Indicates that an entity has a person serving as its chairman in a specified organization, location, or context.
-
D.
hasFormerChiefExecutive
Indicates that an entity previously held the role of chief executive for another entity.
-
E.
lastChairman
Indicates that one entity served as the most recent (final or current) chairman of another entity.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.