Triple
T29059571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific campaign of USS Essex during the War of 1812 |
E735486
|
entity |
| Predicate | capturedVesselsType |
P154310
|
FINISHED |
| Object | British whaling ships |
—
|
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 whaling ships | Statement: [Pacific campaign of USS Essex during the War of 1812, capturedVesselsType, British whaling ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedVesselsType Context triple: [Pacific campaign of USS Essex during the War of 1812, capturedVesselsType, British whaling ships]
-
A.
capturedShipType
chosen
Indicates that one entity has taken possession of another entity’s ship, specifying the type or category of the ship that was captured.
-
B.
capturedShip
Indicates that one party has taken control of another party's ship, typically by force or seizure.
-
C.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
D.
shipTypeSunk
Indicates that a particular type of ship has been sunk as a result of some event or action.
-
E.
shipTypeInvolved
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 10:14 a.m.