Triple
T30084964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juglar cycles |
E764577
|
entity |
| Predicate | typicalLengthLowerBoundYears |
P204249
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Juglar cycles, typicalLengthLowerBoundYears, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLengthLowerBoundYears Context triple: [Juglar cycles, typicalLengthLowerBoundYears, 7]
-
A.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
B.
typicalDurationMinutes
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
C.
typicalTrackLengthRange
Indicates the usual minimum and maximum lengths that a track associated with something tends to fall between.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
typicalAgeRangeLower
Indicates the minimum age value that typically marks the lower bound of an expected or common age range for something.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0357f9670081908a7ba1cd46a0b46a |
completed | May 12, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_6a03575e3258819093303248d1569f95 |
completed | May 12, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_6a0357f8aa988190bc30088e509e317d |
completed | May 12, 2026, 4:40 p.m. |
Created at: April 29, 2026, 7:04 p.m.