Triple
T8549356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuruntokai |
E202406
|
entity |
| Predicate | associatedLandscapeTypes |
P9701
|
FINISHED |
| Object | kurinji |
—
|
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: kurinji | Statement: [Kuruntokai, associatedLandscapeTypes, kurinji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLandscapeTypes Context triple: [Kuruntokai, associatedLandscapeTypes, kurinji]
-
A.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
B.
associatedSiteType
Indicates the type or category of site with which an entity is associated.
-
C.
landscapeRole
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.