Triple
T20557934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhinneka |
E504769
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Bhinneka.com |
—
|
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: Bhinneka.com | Statement: [Bhinneka, foundedAs, Bhinneka.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhinneka.com Context triple: [Bhinneka, foundedAs, Bhinneka.com]
-
A.
Bhinneka
chosen
Bhinneka is an Indonesian e-commerce company best known as one of the country’s earliest and largest online retailers for electronics and IT products.
-
B.
Aneka
Aneka is a skilled Wakandan warrior and former leader of the Dora Milaje in Marvel Comics, known for her defiance of tradition and partnership with fellow warrior Ayo.
-
C.
Sambali
Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
-
D.
Rancaekek
Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
-
E.
Wawasan Nusantara
Wawasan Nusantara is an Indonesian geopolitical and national outlook concept that emphasizes the archipelago as a unified political, economic, socio-cultural, and security entity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:38 a.m.