Triple
T26094159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mara people |
E658212
|
entity |
| Predicate | borderlandPeopleOf |
P43212
|
FINISHED |
| Object | India–Myanmar border |
—
|
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: India–Myanmar border | Statement: [Mara people, borderlandPeopleOf, India–Myanmar border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderlandPeopleOf Context triple: [Mara people, borderlandPeopleOf, India–Myanmar border]
-
A.
ethnicGroupsAlongBorder
chosen
Indicates that the entities share or are associated with ethnic groups that live in regions adjacent to a specified border.
-
B.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
C.
borderStreet
Indicates that a street forms or lies along the boundary between two geographic areas or properties.
-
D.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
E.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 26, 2026, 7:49 p.m.