Triple
T37054157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Like Digging? (as Kara's Flowers) |
E917128
|
entity |
| Predicate | distributionScale |
P105436
|
FINISHED |
| Object | limited release |
—
|
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: limited release | Statement: [We Like Digging? (as Kara's Flowers), distributionScale, limited release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributionScale Context triple: [We Like Digging? (as Kara's Flowers), distributionScale, limited release]
-
A.
distributionSize
chosen
Indicates the quantity or scale of items or units included in a particular distribution.
-
B.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
-
C.
distributionPattern
Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
-
D.
associatedScale
Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:14 p.m.