Triple
T3687057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draupnir |
E78249
|
entity |
| Predicate | productionInterval |
P23186
|
FINISHED |
| Object | every ninth night |
—
|
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 ninth night | Statement: [Draupnir, productionInterval, every ninth night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionInterval Context triple: [Draupnir, productionInterval, every ninth night]
-
A.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
B.
timePeriodOfProduction
chosen
Indicates the span of time during which something was produced or created.
-
C.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
D.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
E.
capacityPerHour
Indicates the maximum amount of output or throughput an entity can handle or produce in one hour.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.