Triple
T26601642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French warship Pélican |
E667649
|
entity |
| Predicate | outcomeOfBattleOfHudsonBay |
P19109
|
FINISHED |
| Object | French victory |
—
|
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: French victory | Statement: [French warship Pélican, outcomeOfBattleOfHudsonBay, French victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeOfBattleOfHudsonBay Context triple: [French warship Pélican, outcomeOfBattleOfHudsonBay, French victory]
-
A.
resultOfPequotWar
Indicates that the subject entity is an outcome, consequence, or product that occurred as a result of the Pequot War.
-
B.
resultAtBattleOfTheFalklandIslands
Indicates the outcome or consequence that occurred specifically in the Battle of the Falkland Islands.
-
C.
sideWithNavalSuperiorityAfterBattle
Indicates that, following a battle, the referenced side possesses superior naval strength or control compared to its opponent.
-
D.
resultOfBattle
chosen
Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
-
E.
isFinalLandBattleOf
Indicates that one battle is the last major land engagement within a specified war, campaign, or conflict.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:12 a.m.