Triple
T6235981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Gravelines (1588) |
E139478
|
entity |
| Predicate | SpanishPlan |
P69685
|
FINISHED |
| Object | link up with Parma’s forces in the Low Countries |
—
|
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: link up with Parma’s forces in the Low Countries | Statement: [Battle of Gravelines (1588), SpanishPlan, link up with Parma’s forces in the Low Countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SpanishPlan Context triple: [Battle of Gravelines (1588), SpanishPlan, link up with Parma’s forces in the Low Countries]
-
A.
returnToSpain
Indicates that an entity goes back to Spain, typically after having been away.
-
B.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
C.
SpanishSquadron
Indicates a relationship where an entity is identified as, or associated with, a naval or military squadron belonging to Spain.
-
D.
strategicObjectiveSpain
Indicates that an entity has a strategic objective specifically related to Spain.
-
E.
certificationSpain
Indicates that an entity holds or is associated with a certification that is valid, issued, or recognized in Spain.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062f236608190997e77b41095883f |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:23 p.m.