Triple
T32384902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | beizi |
E827520
|
entity |
| Predicate | closureStyle |
P174012
|
FINISHED |
| Object | front opening |
—
|
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: front opening | Statement: [beizi, closureStyle, front opening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closureStyle Context triple: [beizi, closureStyle, front opening]
-
A.
closureType
Indicates the specific manner or condition in which something is closed, completed, or terminated within a process or relationship.
-
B.
closureBy
Indicates that one entity causes, performs, or is responsible for the closing or termination of another entity, event, or process.
-
C.
closure
Indicates that an entity is closed or not accessible/available for use, entry, or interaction.
-
D.
closureUse
Indicates that one entity uses or captures another entity within a closure context (such as a variable or resource referenced by a closure).
-
E.
closureUse
Indicates that one entity makes use of another entity within a closure, typically capturing it from an enclosing scope for later execution.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1cf2aa081909f4c0b8f0cad1907 |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:51 a.m.