Triple
T28616418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetTickCount |
E724282
|
entity |
| Predicate | wrapBehavior |
P164938
|
FINISHED |
| Object | counter value overflows and restarts from zero |
—
|
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: counter value overflows and restarts from zero | Statement: [GetTickCount, wrapBehavior, counter value overflows and restarts from zero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wrapBehavior Context triple: [GetTickCount, wrapBehavior, counter value overflows and restarts from zero]
-
A.
rangeBehavior
Indicates how an entity behaves or operates when interacting with or within a specified range or distance.
-
B.
spaceBehavior
Indicates how an entity behaves, operates, or is arranged within a given space or spatial context.
-
C.
canWrap
Indicates that one entity is able to enclose, cover, or surround another entity, typically forming an outer layer or container around it.
-
D.
unlockBehavior
Indicates that one entity enables access to or activates the behavior, functionality, or state of another entity.
-
E.
compassBehavior
Indicates how a compass responds or is configured to respond under certain conditions or interactions.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:32 a.m.