Triple
T5923377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigloo |
E131747
|
entity |
| Predicate | supportsTargetPlatform |
P5090
|
FINISHED |
| Object | C runtime environment |
—
|
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: C runtime environment | Statement: [Bigloo, supportsTargetPlatform, C runtime environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTargetPlatform Context triple: [Bigloo, supportsTargetPlatform, C runtime environment]
-
A.
supportedPlatform
chosen
Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
-
B.
hasTargetPlatform
Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
-
C.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
D.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
E.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.