Triple
T31639390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | capture of Spanish frigate Gamo |
E807403
|
entity |
| Predicate | SpanishCrewStrengthApproximate |
P172601
|
FINISHED |
| Object | over 300 men |
—
|
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: over 300 men | Statement: [capture of Spanish frigate Gamo, SpanishCrewStrengthApproximate, over 300 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SpanishCrewStrengthApproximate Context triple: [capture of Spanish frigate Gamo, SpanishCrewStrengthApproximate, over 300 men]
-
A.
SpanishSquadron
Indicates a relationship where an entity is identified as, or associated with, a naval or military squadron belonging to Spain.
-
B.
SpanishStrength
Indicates a relationship where something or someone possesses strength, power, or intensity specifically associated with Spain or the Spanish context.
-
C.
SpanishFleetStrength
Indicates the relative size or power of a Spanish naval fleet in a given context or time.
-
D.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
E.
hasSpanishMeaning
Indicates that one entity serves as the Spanish-language meaning or translation of another entity.
- F. None of above. chosen
Provenance (4 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_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:48 p.m.