Triple
T6171235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easy |
E137700
|
entity |
| Predicate | hasArrangementCharacteristic |
P34739
|
FINISHED |
| Object | intricate harp arrangements |
—
|
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: intricate harp arrangements | Statement: [Easy, hasArrangementCharacteristic, intricate harp arrangements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArrangementCharacteristic Context triple: [Easy, hasArrangementCharacteristic, intricate harp arrangements]
-
A.
hasArrangementFor
Indicates that one entity has an established plan, setup, or provision in place to accommodate, support, or serve another entity or 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.
arrangementFeatures
chosen
Indicates that one entity specifies or characterizes the structural or compositional features of an arrangement involving another entity.
-
E.
arrangementType
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d910c3c8190ae6af548259295ff |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.