Triple
T23494756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe Nankinmachi |
E571673
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kobe Chinatown |
—
|
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: Kobe Chinatown | Statement: [Kobe Nankinmachi, hasAlternativeName, Kobe Chinatown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobe Chinatown Context triple: [Kobe Nankinmachi, hasAlternativeName, Kobe Chinatown]
-
A.
Kobe Chinatown
chosen
Kobe Chinatown is a compact, bustling Chinese district in central Kobe, Japan, known for its vibrant streets, food stalls, and cultural festivals.
-
B.
China Town
"China Town" is a 1962 Hindi-language Indian crime thriller film starring Shammi Kapoor in a double role, known for its blend of suspense, music, and drama.
-
C.
China Town
China Town is an Asian-themed area within the Phantasialand amusement park, designed to evoke the architecture and atmosphere of traditional Chinese culture.
-
D.
China Town
China Town was the original name of the Nevada settlement that later became the town of Dayton.
-
E.
Chinatown, Los Angeles
Chinatown, Los Angeles is a historic neighborhood and cultural district known for its Chinese-American community, restaurants, markets, and iconic architecture just north of downtown Los Angeles.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7def8ac8190ade511299078d55b |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.