Triple
T11230197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moxico Province |
E265799
|
entity |
| Predicate | areaRankInAngola |
P97946
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Moxico Province, areaRankInAngola, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInAngola Context triple: [Moxico Province, areaRankInAngola, 1]
-
A.
statusInAngola
Indicates the legal, social, or operational standing or condition that something or someone has within the context of Angola.
-
B.
populationRankInPortugal
Indicates the relative position of an entity in terms of population size compared to other entities within Portugal.
-
C.
areaRankingInAfrica
Indicates the relative position of an entity in a size-based ranking of areas within Africa.
-
D.
areaRankInLiberia
Indicates the relative position of an entity when all entities in Liberia are ordered by their area size.
-
E.
rankByAreaInCapeVerde
Indicates the relative ordering of entities based on their area size specifically within Cape Verde.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfdf7a88190aae21572e57ef208 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.