Triple
T9125067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bama |
E218949
|
entity |
| Predicate | traditionalDress |
P5541
|
FINISHED |
| Object | longyi |
E670770
|
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: longyi | Statement: [Bama, traditionalDress, longyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: longyi Context triple: [Bama, traditionalDress, longyi]
-
A.
longyi
chosen
A longyi is a cylindrical piece of cloth worn as a skirt-like garment by people in Myanmar, commonly used by both men and women in everyday life and on formal occasions.
-
B.
Longgu
Longgu is an Oceanic Austronesian language spoken in the Solomon Islands, known for its complex verbal morphology and rich system of possessive constructions.
-
C.
Yonglian
Yonglian was the first son and briefly designated heir of the Qianlong Emperor of the Qing dynasty, whose early death deeply affected his father and altered the imperial succession.
-
D.
Liulichang
Liulichang is a famous historic cultural street in Beijing known for its traditional architecture, antique shops, and stores selling calligraphy, paintings, and rare books.
-
E.
Yangluo
Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b7436c8190b45bc6e4d6ec7066 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030988a888190b5a1e4fd6bd7fcee |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.