Triple
T23339483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nankinmachi Square |
E591695
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nankinmachi |
—
|
NE NERFINISHED |
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: Nankinmachi | Statement: [Nankinmachi Square, locatedIn, Nankinmachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nankinmachi Context triple: [Nankinmachi Square, locatedIn, Nankinmachi]
-
A.
Nanjing
Nanjing is a major city in eastern China, historically significant as a former national capital and cultural center, and now an important political, economic, and educational hub on the Yangtze River.
-
B.
Nankou
Nankou is a town in Beijing’s Changping District known as a key gateway area near the Juyongguan section of the Great Wall.
-
C.
Nankinmachi Chinatown
chosen
Nankinmachi Chinatown is Kobe’s vibrant Chinese quarter, known for its bustling streets, food stalls, and cultural festivals.
-
D.
Wuxi
Wuxi is a major industrial and cultural city in eastern China, located near Lake Tai and known for its manufacturing, canals, and historic gardens.
-
E.
Chungking
Chungking (now commonly spelled Chongqing) is a major city in southwest China that served as the wartime capital during the Second Sino-Japanese War and World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198317f4c8190a557cacb86568d6c |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.