Triple
T11803082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Jemmingen |
E280675
|
entity |
| Predicate | impactOnWilliamOfOrange |
P55427
|
FINISHED |
| Object | forced retreat and reorganization of rebel strategy |
—
|
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: forced retreat and reorganization of rebel strategy | Statement: [Battle of Jemmingen, impactOnWilliamOfOrange, forced retreat and reorganization of rebel strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnWilliamOfOrange Context triple: [Battle of Jemmingen, impactOnWilliamOfOrange, forced retreat and reorganization of rebel strategy]
-
A.
effectOnDutchRepublic
Indicates the impact or consequences that something has on the Dutch Republic.
-
B.
impactOnColonies
Indicates the effect or influence that one factor, event, or condition has on colonies.
-
C.
impactOnMonarch
chosen
Indicates a relationship where an action, event, or condition produces an effect or consequence on a monarch.
-
D.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
E.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.