Triple
T22609071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Yellow Ford |
E566642
|
entity |
| Predicate | IrishCasualties |
P148919
|
FINISHED |
| Object | light to moderate |
—
|
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: light to moderate | Statement: [Battle of the Yellow Ford, IrishCasualties, light to moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IrishCasualties Context triple: [Battle of the Yellow Ford, IrishCasualties, light to moderate]
-
A.
ScottishCasualties
Indicates that an event or situation resulted in casualties (deaths or injuries) among Scottish individuals or forces.
-
B.
IrishTroopStrength
Indicates the number or level of military forces associated with Ireland in a given context.
-
C.
NATOcasualtiesMilitaryKilled
Indicates that members of NATO military forces were killed as casualties.
-
D.
UScasualties
Indicates the number or occurrence of casualties suffered by the United States in a given conflict, event, or situation.
-
E.
IrishOutcome
Indicates that an event, action, or process results in an outcome specifically associated with Ireland or Irish contexts.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:56 p.m.