Triple
T28616138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LoadLibrary |
E724276
|
entity |
| Predicate | referenceCounting |
P163214
|
FINISHED |
| Object | increments module reference count |
—
|
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: increments module reference count | Statement: [LoadLibrary, referenceCounting, increments module reference count]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceCounting Context triple: [LoadLibrary, referenceCounting, increments module reference count]
-
A.
isReferenceCounted
chosen
Indicates that an entity’s lifetime or validity is managed by tracking how many active references or users it currently has.
-
B.
bookmarkCount
Indicates the number of times an item has been bookmarked by users.
-
C.
structureReferences
Indicates that one structure makes reference to, or depends on, another structure.
-
D.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 4:32 a.m.