Triple
T12514890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ar |
E299168
|
entity |
| Predicate | symbolIndexUse |
P5158
|
FINISHED |
| Object | linker optimization for static libraries |
—
|
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: linker optimization for static libraries | Statement: [ar, symbolIndexUse, linker optimization for static libraries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolIndexUse Context triple: [ar, symbolIndexUse, linker optimization for static libraries]
-
A.
symbolicallyUses
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
B.
symbolReferenced
Indicates that one symbol is mentioned, cited, or otherwise referred to by another symbol.
-
C.
associatedIndex
chosen
Indicates that one entity is linked to another through a corresponding index or positional reference.
-
D.
usedInSignatureOf
Indicates that something (such as a type, parameter, or construct) appears as part of the formal signature of a function, method, or similar callable entity.
-
E.
symbolRoot
Indicates a relationship where one symbol serves as the root or base form from which another symbol is derived or structured.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.