Triple
T13833131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flow (album) |
E332454
|
entity |
| Predicate | hasCompositionType |
P111680
|
FINISHED |
| Object | original compositions |
—
|
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: original compositions | Statement: [Flow (album), hasCompositionType, original compositions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompositionType Context triple: [Flow (album), hasCompositionType, original compositions]
-
A.
hasTypeOfSettlementComposition
Indicates that an entity is characterized by a particular composition or mix of types of settlements (e.g., urban, rural, suburban) that make up its overall settlement structure.
-
B.
isComposite
Indicates that an entity is made up of multiple components or parts combined into a single whole.
-
C.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
D.
definesComposition
Indicates that one entity specifies or establishes the structural or component makeup of another entity.
-
E.
hasPanelComposition
Indicates that something is composed of or structured into multiple panels or panel-like sections.
- F. None of above. chosen
Provenance (4 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.