Triple
T38017217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of the United Kingdom |
E948528
|
entity |
| Predicate | hasTypeOfChamberSystem |
P76754
|
FINISHED |
| Object | bicameral |
—
|
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: bicameral | Statement: [Parliament of the United Kingdom, hasTypeOfChamberSystem, bicameral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfChamberSystem Context triple: [Parliament of the United Kingdom, hasTypeOfChamberSystem, bicameral]
-
A.
chamberSystem
Indicates a relationship where an entity functions as, belongs to, or is part of a particular chamber system (e.g., a structural, mechanical, or organizational chamber arrangement).
-
B.
typeOfChamber
chosen
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
C.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
D.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
E.
hasMainChamberVolume
Indicates that an entity (such as a device or container) possesses a primary internal chamber characterized by a specific volume.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: May 3, 2026, 4:20 p.m.