Triple
T14873667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teikoku Gikai |
E349811
|
entity |
| Predicate | membershipUpperHouseIncludes |
P36741
|
FINISHED |
| Object | hereditary peers |
—
|
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: hereditary peers | Statement: [Teikoku Gikai, membershipUpperHouseIncludes, hereditary peers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipUpperHouseIncludes Context triple: [Teikoku Gikai, membershipUpperHouseIncludes, hereditary peers]
-
A.
numberOfMembersUpperHouse
Indicates the total count of individuals serving as members in the upper house of a legislative body.
-
B.
membershipIncluded
Indicates that one entity’s membership or inclusion is contained within, or granted as part of, another entity’s membership.
-
C.
upperHouseInvolved
Indicates that the upper legislative chamber (e.g., senate) participates in, influences, or is formally involved in the referenced action, process, or decision.
-
D.
compositionTypeUpperHouse
chosen
Indicates the method or basis by which the members of an upper legislative house are constituted or selected.
-
E.
haveUpperHouseRepresentationIn
Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e2c94c8190a16f05ea81701fc1 |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.