Triple
T26289752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra |
E661233
|
entity |
| Predicate | borderDisputeIdentityDimension |
P179462
|
FINISHED |
| Object | Marathi sub-nationalism |
—
|
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: Marathi sub-nationalism | Statement: [Maharashtra, borderDisputeIdentityDimension, Marathi sub-nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderDisputeIdentityDimension Context triple: [Maharashtra, borderDisputeIdentityDimension, Marathi sub-nationalism]
-
A.
borderDisputeResolvedBy
Indicates that a previously contested border between entities has been settled or resolved through the specified agent, process, or agreement.
-
B.
borderIssue
Indicates a dispute, conflict, or problem related to the definition, control, or management of a boundary between two or more entities.
-
C.
borderDisputesWith
Indicates that there are contested or unresolved boundary claims between two entities.
-
D.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
E.
borderDisputeRelatedLanguage
chosen
Indicates a relationship where the language is associated with, used in, or relevant to a border dispute between entities.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 26, 2026, 10:07 p.m.