Triple
T3489239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuxingmen station |
E73684
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Xidan commercial district |
E350198
|
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: Xidan commercial district | Statement: [Fuxingmen station, near, Xidan commercial district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xidan commercial district Context triple: [Fuxingmen station, near, Xidan commercial district]
-
A.
Xidan shopping district
chosen
Xidan shopping district is a major commercial and entertainment hub in central Beijing, known for its large malls, department stores, and vibrant youth culture.
-
B.
Tenjin commercial district
The Tenjin commercial district is Fukuoka’s central downtown hub, renowned for its dense concentration of shopping malls, department stores, dining, and entertainment venues.
-
C.
Dongzhimen commercial area
Dongzhimen commercial area is a major shopping and business district in Beijing known for its retail centers, restaurants, and transport connectivity.
-
D.
Xidan station
Xidan station is a major interchange stop on the Beijing Subway serving the busy commercial and shopping district of Xidan in central Beijing.
-
E.
Ginza
Ginza is a famous upscale shopping, dining, and entertainment district in central Tokyo known for its luxury boutiques, department stores, and vibrant nightlife.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb92b3ac8190b8675f5a5e9d4408 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373bb0e00819087899a394f50295d |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.