Triple
T15969155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akananuru |
E387273
|
entity |
| Predicate | associatedLandscapeConcept |
P80560
|
FINISHED |
| Object | thinai (landscape-based mood classification) |
—
|
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: thinai (landscape-based mood classification) | Statement: [Akananuru, associatedLandscapeConcept, thinai (landscape-based mood classification)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLandscapeConcept Context triple: [Akananuru, associatedLandscapeConcept, thinai (landscape-based mood classification)]
-
A.
landscapeConcept
chosen
Indicates a conceptual or thematic relationship involving landscapes, such as ideas, interpretations, or abstract representations of landscape.
-
B.
landscapeElement
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
C.
associatedFlora
Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
-
D.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
landscapeRole
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.