Triple
T7073879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Rand |
E164765
|
entity |
| Predicate | discoveryImpact |
P19729
|
FINISHED |
| Object | stimulated large-scale immigration to Witwatersrand |
—
|
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: stimulated large-scale immigration to Witwatersrand | Statement: [Central Rand, discoveryImpact, stimulated large-scale immigration to Witwatersrand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveryImpact Context triple: [Central Rand, discoveryImpact, stimulated large-scale immigration to Witwatersrand]
-
A.
recognizesImpactOn
Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
-
B.
discovery
chosen
Indicates the event or process by which one entity finds, uncovers, or identifies something previously unknown or unrecognized.
-
C.
discoveriesInclude
Indicates that one entity’s set of discoveries contains or encompasses the other entity as a discovered item.
-
D.
majorExplorationIn
Indicates that an entity’s primary field of exploration, investigation, or study is within a specified domain or area.
-
E.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ccb42c81909f5627aa97db7a84 |
completed | March 27, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:39 p.m.