Triple
T16513573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 六安 |
E401123
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | 安徽省西部 |
E979001
|
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: 安徽省西部 | Statement: [六安, locatedIn, 安徽省西部]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 安徽省西部 Context triple: [六安, locatedIn, 安徽省西部]
-
A.
六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
-
B.
northern Anhui Province
Northern Anhui Province is a region in eastern China that forms part of the Central Plains cultural and linguistic area.
-
C.
Southwestern Anhui
Southwestern Anhui is a subregion of Anhui Province in eastern China, centered around the city of Anqing and known for its hilly terrain and Yangtze River landscapes.
-
D.
western Anhui
chosen
Western Anhui is a region in the western part of Anhui Province in eastern China, characterized by its hilly terrain, agriculture-based economy, and cities such as Lu'an.
-
E.
Feidong County, Anhui, China
Feidong County in Anhui, China, is an administrative county under the jurisdiction of Hefei, known as a largely agricultural area that has produced several prominent Chinese political figures.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e78d4848190a55de9902115b1b2 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060827d988190b2c0c075a49dfde8 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.