Triple
T8532024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaihai Middle Road |
E201974
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Huaihai Road |
E201974
|
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: Huaihai Road | Statement: [Huaihai Middle Road, partOf, Huaihai Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huaihai Road Context triple: [Huaihai Middle Road, partOf, Huaihai Road]
-
A.
Huaihai Middle Road
chosen
Huaihai Middle Road is a major commercial and cultural artery in central Shanghai, known for its upscale shopping, historic architecture, and tree-lined streets.
-
B.
Jianguo Road
Jianguo Road is a major thoroughfare in Beijing that forms part of the extended east–west urban axis associated with Chang’an Avenue.
-
C.
Zhongshan Road
Zhongshan Road is the historic waterfront thoroughfare in Shanghai that runs along the Bund, lined with iconic colonial-era buildings and views of the Huangpu River.
-
D.
Zhongshan Road
Zhongshan Road is a famous pedestrian shopping and dining street in Xiamen, China, known for its historic architecture, local snacks, and vibrant nightlife.
-
E.
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.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d70f81881908ac784608ad7a2aa |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:17 p.m.