Triple
T30225625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shashamane |
E768469
|
entity |
| Predicate | RastafariLandGrantArea |
P157
|
FINISHED |
| Object | about 500 hectares |
—
|
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: about 500 hectares | Statement: [Shashamane, RastafariLandGrantArea, about 500 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RastafariLandGrantArea Context triple: [Shashamane, RastafariLandGrantArea, about 500 hectares]
-
A.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
-
B.
landArea
chosen
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
-
C.
hasLandAreaRange
Indicates that an entity’s land area falls within a specified minimum-to-maximum range.
-
D.
landAreaSquareMiles
Indicates the size of a geographic area measured in square miles.
-
E.
wasCoreTerritoryOf
Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68021a1548190a3b341eab3fa6bbd |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:35 p.m.