Triple
T30228990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandalorian Wars |
E768570
|
entity |
| Predicate | consequenceForRepublic |
P177160
|
FINISHED |
| Object | military and political destabilization |
—
|
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: military and political destabilization | Statement: [Mandalorian Wars, consequenceForRepublic, military and political destabilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForRepublic Context triple: [Mandalorian Wars, consequenceForRepublic, military and political destabilization]
-
A.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
B.
consequenceOfPolicies
Indicates the outcomes or effects that result from the implementation or existence of specific policies.
-
C.
consequenceOfReforms
Indicates that something occurs as a result of, or is caused by, a set of reforms.
-
D.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
-
E.
militaryConsequence
Indicates a causal relationship where one event, action, or condition leads to a specific outcome or effect in the military domain (such as changes in capability, strategy, or conflict status).
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 29, 2026, 7:36 p.m.