Triple
T1695673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaanxi Province |
E36651
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Yan'an |
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: Yan'an | Statement: [Shaanxi Province, hasMajorCity, Yan'an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yan'an Context triple: [Shaanxi Province, hasMajorCity, Yan'an]
-
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.
Baoji
Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
-
C.
Luchuan
Luchuan is the endonym used by the Ryukyuan people to refer to themselves and their language and culture native to the Ryukyu Islands of Japan.
-
D.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
E.
Taian
Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b645a081909dafdf7a32f2a389 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fbcd17c81909e6d3771442f1245 |
completed | March 9, 2026, 1:17 a.m. |
Created at: March 4, 2026, 7:30 p.m.