Triple
T33230607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | semantics of C in Isabelle/HOL |
E850682
|
entity |
| Predicate | formalisedIn |
P31448
|
FINISHED |
| Object | Isabelle/HOL |
—
|
NE NERFINISHED |
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: Isabelle/HOL | Statement: [semantics of C in Isabelle/HOL, formalisedIn, Isabelle/HOL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalisedIn Context triple: [semantics of C in Isabelle/HOL, formalisedIn, Isabelle/HOL]
-
A.
formalizedUnder
chosen
Indicates that something has been officially established, defined, or codified within the framework, authority, or provisions of a particular formal system, agreement, or institution.
-
B.
formalizedAt
Indicates the point in time or event at which something is officially established, documented, or given formal status.
-
C.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
-
D.
formalization
Indicates that an informal concept, process, or agreement is being expressed, structured, or codified in a formal, explicit, and often standardized way.
-
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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 1:30 a.m.