Triple
T30712515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action of 20 February 1815 |
E781929
|
entity |
| Predicate | countryOfUSShip |
P116625
|
FINISHED |
| Object | United States of America |
—
|
NE NERFINISHED |
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: United States of America | Statement: [Action of 20 February 1815, countryOfUSShip, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfUSShip Context triple: [Action of 20 February 1815, countryOfUSShip, United States of America]
-
A.
countryOfShipSunk
Indicates the country to which a ship that was sunk belonged or was registered.
-
B.
countryOfBritishShips
Indicates the country to which British ships belong or are registered.
-
C.
shipyardCountry
Indicates the country in which a given shipyard is located or to which it belongs.
-
D.
navalCountry
Indicates that a country possesses or operates a navy, signifying its involvement in naval or maritime military activities.
-
E.
nationalityOfVessels
chosen
Indicates the country or flag state to which vessels legally belong or are registered.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: April 29, 2026, 8:35 p.m.