Triple
T14773282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACL2 |
E347188
|
entity |
| Predicate | logicStyle |
P115737
|
FINISHED |
| Object | quantifier-free first-order logic with induction |
—
|
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: quantifier-free first-order logic with induction | Statement: [ACL2, logicStyle, quantifier-free first-order logic with induction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicStyle Context triple: [ACL2, logicStyle, quantifier-free first-order logic with induction]
-
A.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
B.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
C.
logicConvention
Indicates a relationship where entities participate in or are associated with a convention, event, or standard related to logic or logical systems.
-
D.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
-
E.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:31 a.m.