Triple
T18120697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auxiliary Fire Service |
E433721
|
entity |
| Predicate | wartimeRisk |
P79144
|
FINISHED |
| Object | high casualty rates during air raids |
—
|
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: high casualty rates during air raids | Statement: [Auxiliary Fire Service, wartimeRisk, high casualty rates during air raids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wartimeRisk Context triple: [Auxiliary Fire Service, wartimeRisk, high casualty rates during air raids]
-
A.
wartimeUse
Indicates that something is used or employed during a period of war or armed conflict.
-
B.
wartimeGain
Indicates that an entity acquires benefits, resources, or advantages specifically as a result of wartime conditions or activities.
-
C.
wartimeActivity
chosen
Indicates involvement in actions, roles, or operations specifically carried out during a period of war or armed conflict.
-
D.
wartimeControl
Indicates that one entity exercises authoritative command or governance over another entity specifically during a period of armed conflict or war.
-
E.
armamentWartime
Indicates a relationship where an entity serves as a weapon or military equipment used by another entity specifically in a wartime context.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd9b21c81908d23b8d9840410df |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.