Triple
T31593249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intze principle |
E806155
|
entity |
| Predicate | typicalSupportSystem |
P207467
|
FINISHED |
| Object | RC columns and bracing system |
—
|
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: RC columns and bracing system | Statement: [Intze principle, typicalSupportSystem, RC columns and bracing system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSupportSystem Context triple: [Intze principle, typicalSupportSystem, RC columns and bracing system]
-
A.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
B.
typicalSupportDuration
Indicates the usual length of time that support or assistance is expected to be provided in this context.
-
C.
typicalSupportSeriesRole
Indicates the usual or characteristic role that an entity plays within a support series or sequence of related support activities.
-
D.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
E.
IndependentSupportBase
Indicates that one entity serves as a foundational, self-sufficient support structure for another, not relying on additional supports or connections.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 10:29 p.m.