Triple
T37841280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alchevsk Iron and Steel Works |
E943483
|
entity |
| Predicate | regionConflictContext |
P21190
|
FINISHED |
| Object | Donbas conflict zone |
—
|
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: Donbas conflict zone | Statement: [Alchevsk Iron and Steel Works, regionConflictContext, Donbas conflict zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionConflictContext Context triple: [Alchevsk Iron and Steel Works, regionConflictContext, Donbas conflict zone]
-
A.
conflictRegion
chosen
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
-
B.
conflictContext
Indicates the situational background or circumstances within which a conflict between entities occurs or is interpreted.
-
C.
endedConflictInRegion
Indicates that an entity brought a conflict within a specified region to an end.
-
D.
conflictRule
Indicates that two or more rules, conditions, or constraints are incompatible or interfere with each other when applied together.
-
E.
postConflictContext
Indicates that the relationship or action occurs within, or is shaped by, a setting that follows the end of an armed conflict or violent confrontation.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0079e152648190a9da2add94fc1831 |
completed | May 10, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_6a0078f77f9c8190af357a6016a2bd53 |
completed | May 10, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:19 p.m.