Triple
T29648472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Myanmar–China tripoint |
E756069
|
entity |
| Predicate | countryBorder3 |
P199144
|
FINISHED |
| Object | China |
—
|
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: China | Statement: [India–Myanmar–China tripoint, countryBorder3, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBorder3 Context triple: [India–Myanmar–China tripoint, countryBorder3, China]
-
A.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
B.
countryBorderFunction
Indicates that one country shares a land or maritime boundary with another country.
-
C.
nationalBorder
Indicates that two geographic or political entities share a common national boundary separating their territories.
-
D.
countryBorderView
Indicates that one entity offers a view overlooking the border between two countries.
-
E.
countryBorderRelation
Indicates that two countries share a common land or maritime boundary with each other.
- F. None of above. chosen
Provenance (4 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69ff234e63648190a7b09a161029c8e2 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 28, 2026, 6:51 p.m.