Triple
T33579707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartier divisor |
E860118
|
entity |
| Predicate | canBeEffective |
P197396
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cartier divisor, canBeEffective, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeEffective Context triple: [Cartier divisor, canBeEffective, yes]
-
A.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
B.
canBeUsed
Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
-
C.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
D.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
E.
effectiveWithin
Indicates that one entity (such as a rule, condition, or effect) is valid, applicable, or in force only during a specified time period or within a defined contextual boundary.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
| PDg | Predicate description generation | batch_69fe8f730bb88190975bffd49f5e0f3b |
completed | May 9, 2026, 1:35 a.m. |
Created at: May 1, 2026, 1:40 a.m.