Triple
T3903032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England’s Debt to India |
E90539
|
entity |
| Predicate | hasArgument |
P52784
|
FINISHED |
| Object | British rule extracted wealth from India |
—
|
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: British rule extracted wealth from India | Statement: [England’s Debt to India, hasArgument, British rule extracted wealth from India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArgument Context triple: [England’s Debt to India, hasArgument, British rule extracted wealth from India]
-
A.
hasParameter
Indicates that an entity is associated with a specific parameter that defines or constrains some aspect of its behavior, configuration, or characteristics.
-
B.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
C.
hasCommand
Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
-
D.
argumentType
Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
-
E.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.