Triple
T18246603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the Saeima |
E436966
|
entity |
| Predicate | isSecondChamberSpeaker |
P131013
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Speaker of the Saeima, isSecondChamberSpeaker, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondChamberSpeaker Context triple: [Speaker of the Saeima, isSecondChamberSpeaker, false]
-
A.
representedChamber
Indicates that one entity served as the legislative chamber or house in which another entity (such as a person or office) held representation or a seat.
-
B.
hasSpeakerInLowerHouse
Indicates that an entity serves as the presiding officer (speaker) of a specified lower house in a bicameral legislature.
-
C.
currentRepresentativeChamber
Indicates that an entity currently serves as a representative in a specific legislative chamber.
-
D.
isPrincipalChamberOf
Indicates that one chamber serves as the main or primary chamber associated with another entity or structure.
-
E.
hasChairmanOfUpperHouse
Indicates that one entity serves as the chairman (presiding officer) of the upper house of a legislative or parliamentary body associated with another entity.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e7d49c8190b227a13b63615754 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:33 a.m.