Triple
T3371444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czechoslovak border guards |
E70963
|
entity |
| Predicate | mainAreaOfOperation |
P19488
|
FINISHED |
| Object | western borders of Czechoslovakia |
—
|
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: western borders of Czechoslovakia | Statement: [Czechoslovak border guards, mainAreaOfOperation, western borders of Czechoslovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAreaOfOperation Context triple: [Czechoslovak border guards, mainAreaOfOperation, western borders of Czechoslovakia]
-
A.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
B.
strategicArea
Indicates that an entity is designated as an area of strategic importance or priority within a broader plan, operation, or context.
-
C.
primaryArea
chosen
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
D.
eraOfOperation
Indicates the time period or span of years during which an entity was active or in operation.
-
E.
operationalScope
Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bc9bc881908b22edd631a1c110 |
completed | March 8, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.