Triple
T10456484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dyld |
E246563
|
entity |
| Predicate | filePath |
P94143
|
FINISHED |
| Object | /usr/lib/dyld |
—
|
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: /usr/lib/dyld | Statement: [dyld, filePath, /usr/lib/dyld]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filePath Context triple: [dyld, filePath, /usr/lib/dyld]
-
A.
fileName
Indicates the name assigned to a file, typically used to identify or reference that file within a system or context.
-
B.
fileUnder
Indicates that one item is categorized, classified, or stored within a particular folder, category, or organizational grouping.
-
C.
logicalPath
Indicates a sequence of logical steps or conditions that connect one entity or state to another within a reasoning or decision process.
-
D.
fileSystemFullName
Indicates the complete, fully qualified name or path of a file system within a storage or operating system context.
-
E.
defaultPath
Indicates that one path among several alternatives is designated as the standard or automatically chosen route in the absence of an explicit selection.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:18 p.m.