Triple
T36976383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandhurst |
E914709
|
entity |
| Predicate | relativeWealthRankInJohannesburg |
P44558
|
FINISHED |
| Object | among wealthiest suburbs |
—
|
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: among wealthiest suburbs | Statement: [Sandhurst, relativeWealthRankInJohannesburg, among wealthiest suburbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeWealthRankInJohannesburg Context triple: [Sandhurst, relativeWealthRankInJohannesburg, among wealthiest suburbs]
-
A.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
-
B.
adjustedWealthRanking
Indicates a comparative ordering of entities based on their wealth after applying specified adjustments or normalization factors.
-
C.
isAffluentArea
chosen
Indicates that a given area is characterized by high wealth, income levels, or overall economic prosperity.
-
D.
addressesRank
Indicates that one entity directs communication, content, or behavior toward another entity based on that entity’s rank or hierarchical status.
-
E.
economicRankInCanada
Indicates the relative economic standing or ranking of an entity within the context of Canada’s economy.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.