Triple
T16471989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 李讷 |
E400084
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | 延安 |
E54943
|
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: 延安 | Statement: [李讷, placeOfBirth, 延安]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 延安 Context triple: [李讷, placeOfBirth, 延安]
-
A.
Yan'an
chosen
Yan'an is a historic city in China's Shaanxi province that served as the Chinese Communist Party's revolutionary base and political center during the late 1930s and 1940s.
-
B.
渭南市
渭南市 is a prefecture-level city in eastern Shaanxi Province, China, known for its location on the Wei River plain and its rich historical and agricultural significance.
-
C.
Xianyang
Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
-
D.
Baiyin City
Baiyin City is a prefecture-level city in central Gansu Province, China, historically known for its mining industry and location along the upper Yellow River.
-
E.
Huayin City
Huayin City is a county-level city in Shaanxi Province, China, best known as the gateway to the famous Mount Hua, one of China’s Five Great Mountains.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd19df881909e4562a5e8473338 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5d16008190bd874080e86b8a2f |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.