Triple
T19321529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEC 61968 |
E483235
|
entity |
| Predicate | usesModelingApproach |
P10363
|
FINISHED |
| Object | object-oriented information models |
—
|
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: object-oriented information models | Statement: [IEC 61968, usesModelingApproach, object-oriented information models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesModelingApproach Context triple: [IEC 61968, usesModelingApproach, object-oriented information models]
-
A.
supportsModelingOf
Indicates that one entity provides the capability or functionality needed to represent, simulate, or model another entity or process.
-
B.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
C.
scopeModelUsed
Indicates that a particular model is employed or applied within a specified scope or context.
-
D.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
-
E.
includesApproach
chosen
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d88951081909f7ce6e0610c7258 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.