Triple
T2855730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10th Army (Italy) |
E63194
|
entity |
| Predicate | statusAfter1941 |
P43679
|
FINISHED |
| Object | effectively ceased to exist as a field formation |
—
|
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: effectively ceased to exist as a field formation | Statement: [10th Army (Italy), statusAfter1941, effectively ceased to exist as a field formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1941 Context triple: [10th Army (Italy), statusAfter1941, effectively ceased to exist as a field formation]
-
A.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
B.
statusIn1945
Indicates the condition, role, or classification an entity had specifically during the year 1945.
-
C.
statusAfter1934
Indicates the condition or state something has specifically after the year 1934.
-
D.
statusAfter1918
Indicates the status or condition of an entity as it existed after the year 1918.
-
E.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf62308081908a65decdd5d6f918 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdee94c2081908e5075e87e70780a |
completed | March 7, 2026, 8:16 a.m. |
Created at: March 6, 2026, 10:02 p.m.