Triple
T9809809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbrand disjunction |
E238239
|
entity |
| Predicate | formalizationLanguage |
P29507
|
FINISHED |
| Object | classical first-order logic |
—
|
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: classical first-order logic | Statement: [Herbrand disjunction, formalizationLanguage, classical first-order logic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalizationLanguage Context triple: [Herbrand disjunction, formalizationLanguage, classical first-order logic]
-
A.
derivationLanguage
Indicates the language from which something (such as a word, term, or expression) is derived.
-
B.
formalization
Indicates that an informal concept, process, or agreement is being expressed, structured, or codified in a formal, explicit, and often standardized way.
-
C.
formalizedUnder
Indicates that something has been officially established, defined, or codified within the framework, authority, or provisions of a particular formal system, agreement, or institution.
-
D.
formalismType
chosen
Indicates the specific formal system or representational framework in which something (such as a theory, model, or specification) is expressed.
-
E.
formalismFor
Indicates that one entity serves as a formal representation, framework, or notation specifically designed to model, describe, or reason about another entity.
- F. None of above.
Provenance (3 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb220310c8190a16ca0b746f0ef7a |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.