Triple
T25335005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Demerara-Berbice |
E635251
|
entity |
| Predicate | partOfRegionSystem |
P38421
|
FINISHED |
| Object |
Regions of Guyana
The Regions of Guyana are the country’s primary administrative divisions, used for local governance, planning, and regional development across its territory.
|
E1676752
|
NE FINISHED |
How this triple was built (3 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: Regions of Guyana | Statement: [Upper Demerara-Berbice, partOfRegionSystem, Regions of Guyana]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Regions of Guyana Triple: [Upper Demerara-Berbice, partOfRegionSystem, Regions of Guyana]
Generated description
The Regions of Guyana are the country’s primary administrative divisions, used for local governance, planning, and regional development across its territory.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfRegionSystem Context triple: [Upper Demerara-Berbice, partOfRegionSystem, Regions of Guyana]
-
A.
regionalSystem
Indicates that something functions as or belongs to a system organized at a regional (sub-national or multi-local) level.
-
B.
partOfResourceRegion
Indicates that one resource is contained within, or forms a component of, a larger resource-defined region.
-
C.
partOfPlanningRegion
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
D.
isRegionOf
chosen
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
E.
partOfElectoralRegionSystem
Indicates that an electoral region belongs to, or is included within, a specific overarching electoral region system or framework.
- F. None of above.
Provenance (6 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1075f0e95c81909720f8c5f3d01b5e |
completed | May 22, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_6a10775af30c8190b81d59d29bf57a2e |
completed | May 22, 2026, 3:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1078eaf8888190b3453537d13d6cc5 |
completed | May 22, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 21, 2026, 1:32 p.m.