Triple
T20557950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhinneka |
E504769
|
entity |
| Predicate | hasDeliveryCoverage |
P52307
|
FINISHED |
| Object | nationwide 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: nationwide Indonesia | Statement: [Bhinneka, hasDeliveryCoverage, nationwide Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeliveryCoverage Context triple: [Bhinneka, hasDeliveryCoverage, nationwide Indonesia]
-
A.
offersDeliveryTo
chosen
Indicates that one entity provides delivery services to another entity or location.
-
B.
offersDelivery
Indicates that a provider makes goods or services available to be transported and delivered to a recipient’s specified location.
-
C.
isDeliveredThrough
Indicates that something is transmitted, conveyed, or provided by means of a specified channel, method, or medium.
-
D.
hasAreaOfCoverage
Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
-
E.
hasCoverage
Indicates that one entity provides insurance or protection coverage for another entity or subject.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5df84088190848c7eb35564d8f9 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.