Triple
T8906455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 外滩 |
E212071
|
entity |
| Predicate | 著名景观 |
P41742
|
FINISHED |
| Object | 外滩城市天际线 |
E212071
|
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: 外滩城市天际线 | Statement: [外滩, 著名景观, 外滩城市天际线]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 外滩城市天际线 Context triple: [外滩, 著名景观, 外滩城市天际线]
-
A.
外滩
chosen
外滩是位于中国上海黄浦江西岸、以万国建筑群和城市天际线景观著称的历史性滨水区域与著名旅游地标。
-
B.
Shanghai Pudong skyline
The Shanghai Pudong skyline is the iconic cluster of futuristic skyscrapers along the east bank of the Huangpu River, featuring landmarks like the Oriental Pearl Tower and Shanghai Tower that symbolize the city’s rapid modernization.
-
C.
Manhattan skyline
The Manhattan skyline is the iconic, densely packed silhouette of New York City’s skyscrapers, prominently featuring landmarks like One World Trade Center and the Empire State Building.
-
D.
Manhattan waterfront
The Manhattan waterfront is the stretch of shoreline encircling the borough of Manhattan, featuring iconic views, parks, piers, and promenades along the Hudson, East, and Harlem Rivers.
-
E.
City Scape
City Scape is an orchestral composition by American composer Jennifer Higdon that vividly portrays the atmosphere and energy of urban life.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660e620c8190b02b9843c8f02bfa |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba2cb5e48190813e9c08198149b0 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.