Triple
T3353997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangfujing station |
E70562
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Wangfujing Street |
E357863
|
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: Wangfujing Street | Statement: [Wangfujing station, nearby, Wangfujing Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangfujing Street Context triple: [Wangfujing station, nearby, Wangfujing Street]
-
A.
Qianmen Street
Qianmen Street is a famous historic commercial avenue in central Beijing known for its traditional architecture, shops, and cultural landmarks.
-
B.
Nanjing Road
Nanjing Road is one of Shanghai’s most famous and busiest commercial streets, renowned for its shopping, neon lights, and historic significance.
-
C.
Shennong Street
Shennong Street is a historic, well-preserved old street in Tainan, Taiwan, known for its traditional architecture, temples, and vibrant cultural atmosphere.
-
D.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
E.
Wangfujing commercial district
chosen
Wangfujing commercial district is one of Beijing’s most famous and historic shopping streets, known for its large department stores, boutiques, and vibrant pedestrian atmosphere.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb24036848190bac779d17dfdce3b |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360a07dec819094b0645d0e2a91da |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:13 p.m.