Triple
T29950634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The English Constitution |
E760759
|
entity |
| Predicate | characterizesCabinetAs |
P195134
|
FINISHED |
| Object | efficient part of the constitution |
—
|
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: efficient part of the constitution | Statement: [The English Constitution, characterizesCabinetAs, efficient part of the constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesCabinetAs Context triple: [The English Constitution, characterizesCabinetAs, efficient part of the constitution]
-
A.
cabinetType
Indicates the specific kind or category of cabinet associated with an entity.
-
B.
cabinet
Indicates that one entity serves as a cabinet (a storage or enclosure unit) for another entity.
-
C.
cabinetShape
Indicates the geometric form or outline that characterizes a cabinet.
-
D.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
-
E.
cabinetRequires
Indicates that a particular cabinet depends on or needs another specified item, condition, or component to be present or satisfied.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
| PDg | Predicate description generation | batch_69fda945e1e08190bf923fcd4d2c548a |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 29, 2026, 6:25 p.m.