Triple
T9633658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRI |
E232869
|
entity |
| Predicate | hasExtensiveBranchNetworkIn |
P12340
|
FINISHED |
| Object | rural areas of Indonesia |
—
|
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: rural areas of Indonesia | Statement: [BRI, hasExtensiveBranchNetworkIn, rural areas of Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtensiveBranchNetworkIn Context triple: [BRI, hasExtensiveBranchNetworkIn, rural areas of Indonesia]
-
A.
hasBranchOffice
Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
-
B.
branchNetwork
chosen
Indicates that one entity operates as a branch or local outlet within the wider organizational or operational network of another entity.
-
C.
mayHaveBranchOfficesIn
Indicates that an entity is permitted or allowed to establish branch offices in a specified location.
-
D.
hasFederallyRecognizedBranch
Indicates that an entity possesses at least one branch, division, or subsidiary that is officially recognized by a federal authority.
-
E.
hasRetailNetwork
Indicates that an entity operates or is associated with a system of retail outlets or distribution channels through which products or services are sold.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.