Triple
T2088691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moore's law |
E32615
|
entity |
| Predicate | originalTimeInterval |
P34631
|
FINISHED |
| Object | every 1 year |
—
|
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: every 1 year | Statement: [Moore's law, originalTimeInterval, every 1 year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTimeInterval Context triple: [Moore's law, originalTimeInterval, every 1 year]
-
A.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
C.
timePeriodImplied
Indicates that a time period is inferred or implied by context rather than being explicitly specified.
-
D.
invariantInterval
Indicates that a certain interval or range remains unchanged or constant under a specified transformation or set of conditions.
-
E.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba712388819091d68a4bb99f6b17 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:43 p.m.