Triple
T7338641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSL(2,ℤ) |
E169191
|
entity |
| Predicate | hasWordProblem |
P77194
|
FINISHED |
| Object | decidable |
—
|
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: decidable | Statement: [PSL(2,ℤ), hasWordProblem, decidable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWordProblem Context triple: [PSL(2,ℤ), hasWordProblem, decidable]
-
A.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
B.
problems
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
-
C.
usesWord
Indicates that one entity employs, contains, or makes use of a particular word in its expression, content, or communication.
-
D.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
E.
hasDyslexia
Indicates that an entity experiences dyslexia, a learning difficulty affecting reading, writing, or spelling abilities.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f3463d0481908aed9ed43a8ac6a8 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.