Triple
T28616372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CreateSemaphore |
E724281
|
entity |
| Predicate | canFailIf |
P126470
|
FINISHED |
| Object | lInitialCount is greater than lMaximumCount |
—
|
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: lInitialCount is greater than lMaximumCount | Statement: [CreateSemaphore, canFailIf, lInitialCount is greater than lMaximumCount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canFailIf Context triple: [CreateSemaphore, canFailIf, lInitialCount is greater than lMaximumCount]
-
A.
mayFailIf
chosen
Indicates that an action, process, or condition has a possibility of failing when a specified circumstance or condition holds.
-
B.
failsTo
Indicates that an expected action, process, or condition does not successfully occur or is not fulfilled.
-
C.
failsWhen
Indicates that a particular action, process, or condition does not succeed under the specified circumstances or triggers.
-
D.
supportsFailure
Indicates that one entity provides assistance, resources, or backing to another entity specifically in situations of error, malfunction, or unsuccessful outcomes.
-
E.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
- 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_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:32 a.m.