Triple
T6565036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baba Malay |
E153881
|
entity |
| Predicate | hasLexicalBorrowingFrom |
P1754
|
FINISHED |
| Object | Hokkien |
E410805
|
NE 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: Hokkien | Statement: [Baba Malay, hasLexicalBorrowingFrom, Hokkien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hokkien Context triple: [Baba Malay, hasLexicalBorrowingFrom, Hokkien]
-
A.
Hokkien
chosen
Hokkien is a Southern Min Chinese language variety widely spoken in Taiwan, Southeast Asia, and parts of southern China, known for its rich tonal system and distinct vocabulary from Mandarin.
-
B.
Nanbu
Nanbu is a town in Shizuoka Prefecture, Japan, known for its rural landscape and location near the border with Yamanashi Prefecture.
-
C.
Hokkedō
Hokkedō is one of the oldest surviving halls at the Tōdai-ji temple complex in Nara, Japan, renowned for its historic Buddhist statues and early Nara-period architecture.
-
D.
Sanuki
Sanuki is a city in Kagawa Prefecture on Japan’s Shikoku island, known for its coastal scenery and association with Sanuki-style udon noodles.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7867e688190aad8cc2b396a64eb |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:52 p.m.