Triple
T4217290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juyongguan |
E94248
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Guangou Valley |
E400995
|
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: Guangou Valley | Statement: [Juyongguan, near, Guangou Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guangou Valley Context triple: [Juyongguan, near, Guangou Valley]
-
A.
Longqing Gorge
chosen
Longqing Gorge is a scenic river valley near Beijing, China, famed for its steep cliffs, clear waters, and popular boat tours and ice lantern festival.
-
B.
Hushe Valley
Hushe Valley is a remote, high-altitude valley in Pakistan’s Karakoram range known as a gateway for trekking and climbing expeditions to major peaks like Masherbrum.
-
C.
Yongcong
Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
-
D.
Yangsansi
Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
-
E.
Maipo Valley
Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34beb470481909ceff19195417f19 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a855cfc08190acceced9cb80f41a |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:04 p.m.