Triple
T22324419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 第二次上海事変 |
E551866
|
entity |
| Predicate | 主な戦場 |
P146580
|
FINISHED |
| Object | 呉淞 |
—
|
NE NERFINISHED |
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: 呉淞 | Statement: [第二次上海事変, 主な戦場, 呉淞]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 呉淞 Context triple: [第二次上海事変, 主な戦場, 呉淞]
-
A.
Suzhou Creek
chosen
Suzhou Creek is a major river in Shanghai that flows through the city’s urban core and joins the Huangpu River, historically serving as an important industrial and transportation waterway.
-
B.
Yuejin
Yuejin is a Chinese automotive marque known primarily for producing commercial vehicles such as light trucks and vans.
-
C.
Port of Changshu
The Port of Changshu is a major Chinese river port and industrial shipping hub located near the mouth of the Yangtze River, serving as an important gateway for bulk cargo and international trade.
-
D.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
E.
Shanghai waterway network
The Shanghai waterway network is an extensive system of interconnected rivers, creeks, and canals that supports transportation, drainage, and urban life throughout the city of Shanghai.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15767425481909547bfe294fe06de |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.