Triple
T19154485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taishan |
E468895
|
entity |
| Predicate | historicallyRomanizedAs |
P119963
|
FINISHED |
| Object | Toishan |
—
|
NE NERFINISHED |
How this triple was built (4 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: Toishan | Statement: [Taishan, historicallyRomanizedAs, Toishan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toishan Context triple: [Taishan, historicallyRomanizedAs, Toishan]
-
A.
Nantong
Nantong is a coastal city in eastern China known for its textile industry, river and sea ports, and location on the northern bank of the Yangtze River opposite Shanghai.
-
B.
Zhenjiang
Zhenjiang is a historic port city in eastern China known for its strategic location on the Yangtze River and its rich cultural and culinary heritage.
-
C.
Lúzhōu
Lúzhōu is the standard Hanyu Pinyin romanization of the Chinese city name Luzhou.
-
D.
Taizhou
Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
-
E.
Taizhou
Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toishan Target entity description: Toishan is an older English romanization of Taishan, a county-level city in Guangdong, China, historically known for its large overseas Chinese diaspora.
-
A.
Nantong
Nantong is a coastal city in eastern China known for its textile industry, river and sea ports, and location on the northern bank of the Yangtze River opposite Shanghai.
-
B.
Zhenjiang
Zhenjiang is a historic port city in eastern China known for its strategic location on the Yangtze River and its rich cultural and culinary heritage.
-
C.
Lúzhōu
Lúzhōu is the standard Hanyu Pinyin romanization of the Chinese city name Luzhou.
-
D.
Taizhou
Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
-
E.
Taizhou
Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyRomanizedAs Context triple: [Taishan, historicallyRomanizedAs, Toishan]
-
A.
hasFormerRomanization
chosen
Indicates that an entity was previously written or represented using an earlier or superseded system of Romanized spelling.
-
B.
historicalNameInLatin
Indicates that an entity has a historically used name expressed in Latin.
-
C.
historicalNameGivenBy
Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
-
D.
historicallyRecognizedAs
Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
-
E.
hangulNameRomanized
Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
- F. None of above.
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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb81bf08190b0352137eb4a5763 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.