Triple
T14974030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Neville's Cross |
E373396
|
entity |
| Predicate | impactOnEngland |
P4749
|
FINISHED |
| Object | reduced northern threat during campaigns in France |
—
|
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: reduced northern threat during campaigns in France | Statement: [Battle of Neville's Cross, impactOnEngland, reduced northern threat during campaigns in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnEngland Context triple: [Battle of Neville's Cross, impactOnEngland, reduced northern threat during campaigns in France]
-
A.
impactOnColonies
Indicates the effect or influence that one factor, event, or condition has on colonies.
-
B.
historicalImpact
chosen
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
C.
facedHistoricalImpact
Indicates that an entity has experienced or been subjected to a significant influence, consequence, or change resulting from historical events or processes.
-
D.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
E.
eraOfArrivalInBritain
Indicates the historical period or time frame during which an entity arrived in Britain.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e767608190940eb6f16ea97451 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:50 a.m.