Triple
T34412110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaziranga Forest Trail |
E883299
|
entity |
| Predicate | mainContinentTheme |
P9665
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [Kaziranga Forest Trail, mainContinentTheme, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainContinentTheme Context triple: [Kaziranga Forest Trail, mainContinentTheme, Asia]
-
A.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
B.
alsoContinent
Indicates that two entities share the same continent or that one entity is located on a continent in addition to another.
-
C.
nativeContinents
Indicates the continents where an entity (typically a species or group) originally occurs or is naturally indigenous.
-
D.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
-
E.
continentScope
chosen
Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:59 a.m.