Triple
T19749670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shopee |
E474343
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Tokopedia |
—
|
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: Tokopedia | Statement: [Shopee, competitor, Tokopedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokopedia Context triple: [Shopee, competitor, Tokopedia]
-
A.
Tokopedia
chosen
Tokopedia is a leading Indonesian e-commerce platform that became part of the GoTo Group following its merger with ride-hailing and digital services company Gojek.
-
B.
Ei Thesaurus
Ei Thesaurus is a controlled vocabulary and indexing tool used to standardize subject terms for engineering and technical literature in the Ei Compendex database.
-
C.
Kamus Besar Bahasa Indonesia
Kamus Besar Bahasa Indonesia is the official and most authoritative dictionary of the Indonesian language, serving as the primary reference for standard Indonesian vocabulary and usage.
-
D.
Kamus Dewan
Kamus Dewan is a widely used authoritative Malay-language dictionary that serves as a primary reference for standard Malay vocabulary and usage.
-
E.
Tekopua
Tekopua is a small, uninhabited motu in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and turquoise waters.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65296fa80819085aa4a18153531cf |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.