Triple
T7825090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kejiahua |
E181225
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Sixian Hakka |
E34449
|
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: Sixian Hakka | Statement: [Kejiahua, hasDialect, Sixian Hakka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sixian Hakka Context triple: [Kejiahua, hasDialect, Sixian Hakka]
-
A.
Hakka
chosen
Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
-
B.
Sheng
Sheng is the primary male role type in traditional Chinese Peking opera, typically portraying dignified scholars, officials, and heroic figures.
-
C.
Khasian
Khasian is a branch of the Austroasiatic language family comprising several related languages spoken primarily in the northeastern region of India, especially in Meghalaya.
-
D.
Tai Lue
Tai Lue are a Tai-speaking ethnic group of Southeast Asia, primarily inhabiting parts of China, Laos, Thailand, and Myanmar, known for their distinct language, script, and Buddhist cultural traditions.
-
E.
Haad Yuan
Haad Yuan is a small, secluded beach on Thailand’s Ko Pha Ngan island, known for its tranquil atmosphere, clear waters, and relaxed, off-the-beaten-path vibe.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0c1f5c8190b16db20daad159a1 |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbd8698a88190b5f9b4d232504f04 |
completed | April 1, 2026, 6:39 a.m. |
Created at: March 30, 2026, 4:42 p.m.