Triple
T28619492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FXC compiler |
E724344
|
entity |
| Predicate | supportsDebugInfo |
P203
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [FXC compiler, supportsDebugInfo, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDebugInfo Context triple: [FXC compiler, supportsDebugInfo, yes]
-
A.
supportsDebugFormats
Indicates that one entity provides or is compatible with debugging data or formats used by another entity.
-
B.
supportsDebuggingTools
Indicates that an entity provides or is compatible with tools used for debugging or diagnosing issues.
-
C.
dataSupports
Indicates that one piece of data provides evidence, justification, or backing for the validity or reliability of another piece of data, claim, or conclusion.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
Created at: April 28, 2026, 4:32 a.m.