Triple
T1118377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Trafalgar |
E11152
|
entity |
| Predicate | hasStrategicEffect |
P23809
|
FINISHED |
| Object | ended Napoleon’s plans to invade Britain |
—
|
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: ended Napoleon’s plans to invade Britain | Statement: [Battle of Trafalgar, hasStrategicEffect, ended Napoleon’s plans to invade Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrategicEffect Context triple: [Battle of Trafalgar, hasStrategicEffect, ended Napoleon’s plans to invade Britain]
-
A.
notableEffect
chosen
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
-
B.
hasElectoralStrategy
Indicates that an entity employs or is associated with a specific plan or approach for winning or influencing an election.
-
C.
hasLegalEffect
Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
-
D.
treatyEffect
Indicates that a treaty produces a specific legal, political, or practical consequence or change in the relationship between the involved parties.
-
E.
effectOnCampaign
Indicates the influence or impact that one factor has on the outcome or performance of a campaign.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.