Triple
T23522610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weather Report Suite |
E574547
|
entity |
| Predicate | hasSubsequence |
P128058
|
FINISHED |
| Object | Prelude |
—
|
NE NERFINISHED |
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: Prelude | Statement: [Weather Report Suite, hasSubsequence, Prelude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsequence Context triple: [Weather Report Suite, hasSubsequence, Prelude]
-
A.
isSubsequenceOf
Indicates that one sequence can be derived from another by deleting zero or more elements without changing the order of the remaining elements.
-
B.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
-
C.
requiresSubSequenceConstraint
chosen
Indicates that one element must occur as a subsequence within another, enforcing an ordered containment constraint between them.
-
D.
hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
-
E.
hasTypicalSequence
Indicates that there is a usual or commonly occurring order or progression in which the related entities or events take place.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac70b7888190b4abc4f78bdf539c |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:08 p.m.