Triple
T29922026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Myanmar–Bangladesh tripoint |
E759969
|
entity |
| Predicate | borderCountry3 |
P4999
|
FINISHED |
| Object | Bangladesh |
—
|
NE NERFINISHED |
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: Bangladesh | Statement: [India–Myanmar–Bangladesh tripoint, borderCountry3, Bangladesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderCountry3 Context triple: [India–Myanmar–Bangladesh tripoint, borderCountry3, Bangladesh]
-
A.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
B.
countryBordering
chosen
Indicates that one country shares a land or maritime boundary directly with another country.
-
C.
borderingRepublic
Indicates that one republic shares a land or maritime border with another republic.
-
D.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
E.
countryBorderType
Indicates the type or nature of the border relationship that exists between two 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: April 29, 2026, 6:15 p.m.