Triple
T15933757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myanmar–China border |
E386386
|
entity |
| Predicate | hasBorderTradeRole |
P81237
|
FINISHED |
| Object | major corridor for bilateral trade |
—
|
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: major corridor for bilateral trade | Statement: [Myanmar–China border, hasBorderTradeRole, major corridor for bilateral trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderTradeRole Context triple: [Myanmar–China border, hasBorderTradeRole, major corridor for bilateral trade]
-
A.
hasCrossBorderTrade
Indicates that there is trade or commercial exchange occurring between entities located in different countries or jurisdictions.
-
B.
borderTradeType
chosen
Indicates the specific category or nature of trade that occurs across a border between two regions or countries.
-
C.
hasBorderTownRole
Indicates that an entity serves in an official capacity or role specifically related to a town located on or near a border.
-
D.
hasBorderPostWith
Indicates that two regions or territories share a border where an official border post or checkpoint is located between them.
-
E.
borderTradePointWith
Indicates a location or facility where trade or commercial exchange occurs between two bordering regions or countries.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.