Triple
T5102392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giga Shanghai |
E115010
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lingang |
E176778
|
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: Lingang | Statement: [Giga Shanghai, locatedIn, Lingang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lingang Context triple: [Giga Shanghai, locatedIn, Lingang]
-
A.
Lingang
chosen
Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
-
B.
Jintao
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
-
C.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
D.
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.
-
E.
Langfang
Langfang is a prefecture-level city in northern China situated between Beijing and Tianjin, known for its strategic location and growing industrial and service sectors.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf330bc5c48190ad8ca1e413b6c68b |
completed | March 22, 2026, 12:08 a.m. |
Created at: March 20, 2026, 1:41 p.m.