Triple
T31652585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Days' Fight |
E807770
|
entity |
| Predicate | DutchLosses |
P34639
|
FINISHED |
| Object | several ships lost but fewer than the English |
—
|
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: several ships lost but fewer than the English | Statement: [Four Days' Fight, DutchLosses, several ships lost but fewer than the English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DutchLosses Context triple: [Four Days' Fight, DutchLosses, several ships lost but fewer than the English]
-
A.
dutchCasualties
chosen
Indicates that the relationship specifies the number or occurrence of casualties suffered by Dutch entities in a given event or context.
-
B.
DutchFleetStrength
Indicates the relative size or power of the Dutch fleet in a given context or time period.
-
C.
dutchShipsOfTheLine
Indicates that the subject is a Dutch ship of the line, i.e., a large warship belonging to the Dutch navy designed to fight in the line of battle.
-
D.
DanishCasualties
Indicates the number or extent of casualties suffered by Danish forces or people in a given event or context.
-
E.
livestockLostNetherlands
Indicates livestock that have died or gone missing within the Netherlands, typically as a net loss count over a given period.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a95a6d5881908bdb9f589a36cc91 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:53 p.m.