Triple
T3191682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabaykalsky Krai |
E66836
|
entity |
| Predicate | borderLengthWithChina |
P34339
|
FINISHED |
| Object | over 1000 kilometers |
—
|
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: over 1000 kilometers | Statement: [Zabaykalsky Krai, borderLengthWithChina, over 1000 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderLengthWithChina Context triple: [Zabaykalsky Krai, borderLengthWithChina, over 1000 kilometers]
-
A.
hasInternationalBoundaryLengthWithChina
chosen
Indicates that there exists a shared land or river border between the subject entity and China, and specifies the length of that international boundary.
-
B.
longestLandBorderWith
Indicates that two entities share a land border and that this border is the longest land border for at least one of the entities.
-
C.
hasBorderLengthWithUSA
Indicates that the length of the land or maritime border shared between a given country or region and the USA has a specified measurement.
-
D.
hasInternationalBoundaryLengthWithBhutan
Indicates the measured length of the international land border shared between a given entity and Bhutan.
-
E.
hasInternationalBoundaryLengthWithMyanmar
Indicates the measured length of the international land or maritime boundary shared between a given entity and Myanmar.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e8e4b48190bc7c6443fc6da900 |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.