Triple
T6347943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Flores (1591) |
E142791
|
entity |
| Predicate | SpanishObjective |
P70117
|
FINISHED |
| Object | destroy or capture English squadron |
—
|
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: destroy or capture English squadron | Statement: [Battle of Flores (1591), SpanishObjective, destroy or capture English squadron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SpanishObjective Context triple: [Battle of Flores (1591), SpanishObjective, destroy or capture English squadron]
-
A.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
B.
SpanishSquadron
Indicates a relationship where an entity is identified as, or associated with, a naval or military squadron belonging to Spain.
-
C.
SpanishFormation
Indicates that an entity is associated with the creation, development, or establishment of something within a Spanish context (such as language, culture, institutions, or structures).
-
D.
SpanishPlan
Indicates a plan, strategy, or arrangement that is specifically associated with Spain or the Spanish context.
-
E.
SpanishVersionPerformer
Indicates that an entity performs or provides the Spanish-language version of another work or performance.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067ba2c64819094fa38bb2aeffa6c |
completed | March 22, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:31 p.m.