Triple
T16583666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yixian |
E402898
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Xidi |
E1222161
|
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: Xidi | Statement: [Yixian, contains, Xidi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xidi Context triple: [Yixian, contains, Xidi]
-
A.
Xidi
chosen
Xidi is a well-preserved ancient village in Anhui Province, China, renowned for its traditional Huizhou architecture and status as a UNESCO World Heritage Site.
-
B.
Nanxi
Nanxi was an early form of Chinese drama from the Song dynasty that combined music, dialogue, and dance, and is considered a foundational precursor to later Chinese operatic traditions.
-
C.
Weida
Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
-
D.
Xinle
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
-
E.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999f80c8190852fd4137bc45a80 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da6d6f08190a8524b1c955b7c2e |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:16 a.m.