Triple
T3317044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hai River |
E69706
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Tianjin |
E31338
|
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: Tianjin | Statement: [Hai River, passesThrough, Tianjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tianjin Context triple: [Hai River, passesThrough, Tianjin]
-
A.
Tianjin
chosen
Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
-
B.
Tiāntán
Tiāntán is the Chinese pinyin name for the Temple of Heaven, a historic imperial religious complex in Beijing where Ming and Qing dynasty emperors performed annual ceremonies to pray for good harvests.
-
C.
Beijing
Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
-
D.
Shanghai
Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
-
E.
Pinghu City
Pinghu City is a county-level coastal city in northern Zhejiang Province, China, known for its manufacturing industry and proximity to Shanghai across Hangzhou Bay.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb11230b881908f5b554323729cc5 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432ee11988190843e4b81500b65ca |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:11 p.m.