Triple
T3253344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang’an Avenue |
E68236
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Fuxing Road |
E347415
|
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: Fuxing Road | Statement: [Chang’an Avenue, hasSection, Fuxing Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuxing Road Context triple: [Chang’an Avenue, hasSection, Fuxing Road]
-
A.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
B.
Zhangzizhonglu
Zhangzizhonglu is a central Beijing street and subway station area known for its convenient access to cultural and commercial spots within the city’s historic core.
-
C.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
D.
Jianguo Road
chosen
Jianguo Road is a major thoroughfare in Beijing that forms part of the extended east–west urban axis associated with Chang’an Avenue.
-
E.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf640fd8819083c3c0cc41db2ffc |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a67d0a08190853699b0aa39b359 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:09 p.m.