Triple
T26032789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second International Marxism |
E647477
|
entity |
| Predicate | crisis |
P25894
|
FINISHED |
| Object | support of many parties for war credits in 1914 |
—
|
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: support of many parties for war credits in 1914 | Statement: [Second International Marxism, crisis, support of many parties for war credits in 1914]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crisis Context triple: [Second International Marxism, crisis, support of many parties for war credits in 1914]
-
A.
typeOfCrisis
Indicates the specific category or nature of a crisis that an entity is experiencing or associated with.
-
B.
crisisContext
Indicates that the relationship or action occurs within, is shaped by, or is specifically relevant to a crisis situation or emergency context.
-
C.
majorCrisis
Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
-
D.
crisisManagement
Indicates the relationship in which an entity plans for, responds to, and mitigates the impact of disruptive or emergency situations.
-
E.
crisisRelatedTo
chosen
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6061b1b5081908dc5e2ac3ac58619 |
completed | May 2, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 9:06 a.m.