Triple
T6071015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ems Dispatch crisis |
E135279
|
entity |
| Predicate | manipulationType |
P38005
|
FINISHED |
| Object | editing and shortening of the original telegram |
—
|
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: editing and shortening of the original telegram | Statement: [Ems Dispatch crisis, manipulationType, editing and shortening of the original telegram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manipulationType Context triple: [Ems Dispatch crisis, manipulationType, editing and shortening of the original telegram]
-
A.
adjustmentType
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
-
B.
changeType
chosen
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
C.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
D.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
E.
tractionType
Indicates the type or method of traction applied or used in relation to an entity or system.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.