Triple
T20967581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAU |
E516408
|
entity |
| Predicate | hasTemporalStabilityRequirement |
P84244
|
FINISHED |
| Object | minimum duration for code validity |
—
|
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: minimum duration for code validity | Statement: [LAU, hasTemporalStabilityRequirement, minimum duration for code validity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTemporalStabilityRequirement Context triple: [LAU, hasTemporalStabilityRequirement, minimum duration for code validity]
-
A.
hasTemporalResolution
Indicates that one entity specifies the level of temporal detail or granularity at which another entity’s data, observation, or process is measured or represented.
-
B.
hasDateStability
chosen
Indicates that something maintains consistent or reliable properties, behavior, or validity over time or across different dates.
-
C.
hasTemporalUse
Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
-
D.
isConditionallyStable
Indicates that an entity remains stable only under certain specified conditions or constraints.
-
E.
hasTemporalBehavior
Indicates that an entity exhibits a particular pattern, characteristic, or change in behavior over time.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:37 p.m.