Triple
T29445170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Border Guard Bangladesh |
E746827
|
entity |
| Predicate | primaryBorder |
P203163
|
FINISHED |
| Object | Bangladesh–India 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: Bangladesh–India border | Statement: [Border Guard Bangladesh, primaryBorder, Bangladesh–India border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBorder Context triple: [Border Guard Bangladesh, primaryBorder, Bangladesh–India border]
-
A.
primaryStyle
Indicates the main or predominant style associated with an entity, distinguishing it from other secondary or supporting styles.
-
B.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
-
C.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
D.
primaryAppearance
Indicates that the referenced entity is the main or most prominent visual or representational form in which another entity is typically depicted or recognized.
-
E.
primaryVariant
Indicates that one entity is the main or canonical version among multiple related variants of another entity.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
| PDg | Predicate description generation | batch_6a013029b3a48190884d661f6c622cad |
completed | May 11, 2026, 1:26 a.m. |
Created at: April 28, 2026, 3:26 p.m.