Triple
T2632403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartacist uprising |
E59663
|
entity |
| Predicate | hasTypeOfConflict |
P1397
|
FINISHED |
| Object | civil conflict |
—
|
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: civil conflict | Statement: [Spartacist uprising, hasTypeOfConflict, civil conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfConflict Context triple: [Spartacist uprising, hasTypeOfConflict, civil conflict]
-
A.
hasConflictStatus
Indicates that there exists a state of conflict or dispute associated with the relationship between the involved entities.
-
B.
hasOngoingConflict
Indicates that there is a current, unresolved state of opposition, dispute, or hostilities between the related entities.
-
C.
conflictType
chosen
Indicates the specific kind or category of conflict that characterizes the relationship or interaction between entities.
-
D.
appliesToConflictWith
Indicates that one element’s scope, rules, or effects are relevant to a conflict involving another element, defining how that element is implicated in or governed by the conflict.
-
E.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.