Triple
T4055884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang |
E84692
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Yeung |
E84692
|
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: Yeung | Statement: [Yang, hasVariantTransliteration, Yeung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeung Context triple: [Yang, hasVariantTransliteration, Yeung]
-
A.
Yang
chosen
Yang is a common Chinese surname with deep historical roots and widespread use across Chinese-speaking communities.
-
B.
Cheung
Cheung is a Cantonese romanization of the Chinese surname commonly spelled "Zhang" in Mandarin pinyin.
-
C.
Yip
Yip was the nickname of E. Y. "Yip" Harburg, the American lyricist best known for writing the words to songs such as "Over the Rainbow" in The Wizard of Oz.
-
D.
Tai Kwun
Tai Kwun is a major heritage and arts complex in Hong Kong that revitalizes the former Central Police Station compound into a cultural, exhibition, and performance hub.
-
E.
Ying
Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbabec608190a35d39d3d03b928b |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a390e4819095cc06f15f6da3b8 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.