Triple
T31401214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riksdag Chamber |
E800999
|
entity |
| Predicate | usedByBodyWithNumberOfMembers |
P185962
|
FINISHED |
| Object | 349 members of the Riksdag |
—
|
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: 349 members of the Riksdag | Statement: [Riksdag Chamber, usedByBodyWithNumberOfMembers, 349 members of the Riksdag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByBodyWithNumberOfMembers Context triple: [Riksdag Chamber, usedByBodyWithNumberOfMembers, 349 members of the Riksdag]
-
A.
isPartOfBodyWithNumberOfMembers
Indicates that something is a component of a body or group that consists of a specified number of members.
-
B.
belongsToBody
Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
-
C.
hasBodyPartCount
Indicates that an entity possesses a specified number of body parts.
-
D.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
E.
hasNumberedMembers
Indicates that a group or collection has members that are explicitly assigned distinct numerical identifiers.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: April 29, 2026, 9:19 p.m.