Triple
T6235983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Gravelines (1588) |
E139478
|
entity |
| Predicate | SpanishFleetStrength |
P69686
|
FINISHED |
| Object | about 120–130 ships engaged |
—
|
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: about 120–130 ships engaged | Statement: [Battle of Gravelines (1588), SpanishFleetStrength, about 120–130 ships engaged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SpanishFleetStrength Context triple: [Battle of Gravelines (1588), SpanishFleetStrength, about 120–130 ships engaged]
-
A.
SpanishSquadron
Indicates a relationship where an entity is identified as, or associated with, a naval or military squadron belonging to Spain.
-
B.
fleetStrengthEnglish
Indicates the relative military or naval power level associated with a fleet, expressed or categorized in English terms.
-
C.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
D.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
E.
navalForceInvolved
Indicates that a naval military force participates in, contributes to, or is otherwise involved in a specified event or operation.
- 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.