Triple
T9299887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Quebec (1690) |
E223730
|
entity |
| Predicate | frenchOutcome |
P76199
|
FINISHED |
| Object | maintenance of control over Quebec City |
—
|
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: maintenance of control over Quebec City | Statement: [Battle of Quebec (1690), frenchOutcome, maintenance of control over Quebec City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frenchOutcome Context triple: [Battle of Quebec (1690), frenchOutcome, maintenance of control over Quebec City]
-
A.
FrenchOutcome
Indicates that an event, action, or process results in an outcome that is specifically French in nature, context, or origin.
-
B.
resultForFrance
chosen
Indicates the outcome or result of an event, action, or process specifically as it pertains to France.
-
C.
FrenchObjective
Indicates that an entity serves as the goal, target, or object of an action or relation specifically within a French linguistic or contextual framework.
-
D.
sideOutcomeForFrenchUnion
Indicates a secondary or indirect result that occurs specifically in relation to the French Union.
-
E.
FrenchSupport
Indicates that one entity provides support, assistance, or backing to another in a specifically French context (e.g., by French actors, in France, or involving the French language or institutions).
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.