Triple
T28273790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Juice (Acoustic) |
E712929
|
entity |
| Predicate | hasStrippedDownArrangement |
P152764
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Apple Juice (Acoustic), hasStrippedDownArrangement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrippedDownArrangement Context triple: [Apple Juice (Acoustic), hasStrippedDownArrangement, true]
-
A.
usesMinimalArrangement
chosen
Indicates that something employs the smallest or simplest possible arrangement of elements needed to achieve its purpose.
-
B.
hasArrangement
Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
-
C.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
-
D.
hasArrangementFeature
Indicates that one entity possesses a specific structural or spatial arrangement characteristic related to another entity or context.
-
E.
hasNotableArrangementFor
Indicates that one entity is distinguished by a significant or noteworthy arrangement, configuration, or setup specifically made for another entity.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 27, 2026, 11:19 p.m.