Triple
T8508633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tubism |
E201397
|
entity |
| Predicate | usesFormalElement |
P26269
|
FINISHED |
| Object | cylindrical forms |
—
|
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: cylindrical forms | Statement: [Tubism, usesFormalElement, cylindrical forms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFormalElement Context triple: [Tubism, usesFormalElement, cylindrical forms]
-
A.
usesForm
chosen
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
-
B.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
-
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
Indicates the specific formal system or representational framework in which something (such as a theory, model, or specification) is expressed.
-
E.
usedInFormalContexts
Indicates that something is employed or occurs primarily within formal or official situations, settings, or styles of communication.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5df74e8819086b1445cc907e371 |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.