Triple
T19311858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laos and Vietnam |
E482990
|
entity |
| Predicate | haveBorderAgreements |
P59962
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Laos and Vietnam, haveBorderAgreements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveBorderAgreements Context triple: [Laos and Vietnam, haveBorderAgreements, yes]
-
A.
haveCrossBorderAgreements
chosen
Indicates that there exist formal agreements or arrangements between entities that operate across national or jurisdictional borders.
-
B.
hasBorderWithNonSovereignEntity
Indicates that one entity shares a land or maritime border with a political or territorial unit that is not fully sovereign.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
hasBorderMeetingCountry
Indicates that one country shares a land or maritime border with another country.
-
E.
hasBorderWithinCountry
Indicates that one region or area shares an internal boundary with another region or area within the same country.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.