Triple
T9719014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gezira Scheme |
E235413
|
entity |
| Predicate | tenantFarmersCount |
P90422
|
FINISHED |
| Object | over 100,000 tenants at peak |
—
|
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: over 100,000 tenants at peak | Statement: [Gezira Scheme, tenantFarmersCount, over 100,000 tenants at peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenantFarmersCount Context triple: [Gezira Scheme, tenantFarmersCount, over 100,000 tenants at peak]
-
A.
farmingStructure
Indicates that one entity is a structure or facility used for farming-related activities in relation to another entity.
-
B.
farmSystemOf
Indicates that one entity is the agricultural or farming system to which another entity belongs or with which it is associated.
-
C.
hasNotableFarm
Indicates that an entity possesses or is associated with a farm that is considered notable or significant in some recognized way.
-
D.
numberOfCrops
Indicates the quantity or count of crops associated with a given entity or context.
-
E.
hasAgriculturalCommunities
Indicates that certain groups or settlements engage in organized farming and related agricultural activities within a given area or context.
- F. None of above. chosen
Provenance (4 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:20 p.m.