Triple
T31639397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | capture of Spanish frigate Gamo |
E807403
|
entity |
| Predicate | flagOfBritishSide |
P32468
|
FINISHED |
| Object | Royal Navy White Ensign |
—
|
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: Royal Navy White Ensign | Statement: [capture of Spanish frigate Gamo, flagOfBritishSide, Royal Navy White Ensign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagOfBritishSide Context triple: [capture of Spanish frigate Gamo, flagOfBritishSide, Royal Navy White Ensign]
-
A.
isWarEnsignOf
chosen
Indicates that one entity is the war ensign (a specific military or wartime flag) representing or belonging to another entity.
-
B.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
C.
flagOrInsignia
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
D.
shipOnBritishSide
Indicates that a ship is aligned with, operated by, or acting on behalf of the British side in a conflict or competitive context.
-
E.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9195b0c81909d6799d8d5d1ab33 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:48 p.m.