Triple
T19628401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mawanella |
E471198
|
entity |
| Predicate | hasNearbyPlantations |
P134361
|
FINISHED |
| Object | rubber |
—
|
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: rubber | Statement: [Mawanella, hasNearbyPlantations, rubber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyPlantations Context triple: [Mawanella, hasNearbyPlantations, rubber]
-
A.
containsPlantation
Indicates that one entity includes or encompasses a plantation within its area, boundaries, or contents.
-
B.
hasCultivationSite
Indicates that an entity possesses or is associated with a specific location where cultivation or growing activities take place.
-
C.
hasNearbyProductionArea
chosen
Indicates that one entity has a production area located in close physical proximity to it.
-
D.
hasNearbyAgriculturalActivity
Indicates that an entity is located close enough to agricultural operations or land use for those activities to be considered relevant or influential to it.
-
E.
hasNearbyHabitats
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641007e5881908da78e50aa36f340 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.