Triple
T17619406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Sea |
E429668
|
entity |
| Predicate | bordersCountry |
P224
|
FINISHED |
| Object | Malaysia |
—
|
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: Malaysia | Statement: [East Sea, bordersCountry, Malaysia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaysia Context triple: [East Sea, bordersCountry, Malaysia]
-
A.
Malaysia
chosen
Malaysia is a Southeast Asian country on the Malay Peninsula and parts of Borneo, known for its multicultural society, tropical rainforests, and rapidly developing economy.
-
B.
Malesia
Malesia is a biogeographical region in Southeast Asia encompassing the Malay Peninsula, Indonesia, the Philippines, New Guinea, and surrounding areas, known for its exceptionally rich tropical biodiversity.
-
C.
Malaisia
Malaisia is a small genus of flowering plants in the mulberry family, Moraceae, native to tropical regions.
-
D.
Brunei-Kedayan
Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
-
E.
West Malaysia
West Malaysia is the peninsular region of Malaysia on the Asian mainland, comprising 11 states and the federal territories of Kuala Lumpur and Putrajaya.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3547d88190ae3c9ffed63133c9 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.