Triple
T17941841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies |
E448605
|
entity |
| Predicate | hasPositionInBicameralSystem |
P129812
|
FINISHED |
| Object | lower house |
—
|
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: lower house | Statement: [Chamber of Deputies, hasPositionInBicameralSystem, lower house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionInBicameralSystem Context triple: [Chamber of Deputies, hasPositionInBicameralSystem, lower house]
-
A.
hasBicameralStructure
Indicates that an entity possesses a two-chamber (two-house) internal organizational or legislative structure.
-
B.
isUnicameralComponentOf
Indicates that a legislative body or chamber is a single-chamber (unicameral) part of a larger political or governmental system.
-
C.
isBicameralJointCommittee
Indicates that a committee is a joint body composed of members from both chambers of a bicameral legislature.
-
D.
positionHeldInTheLegislativeBody
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
-
E.
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.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.