Triple
T10694509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiyan City |
E252098
|
entity |
| Predicate | isGatewayTo |
P2066
|
FINISHED |
| Object | Wudang Mountains |
E35121
|
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: Wudang Mountains | Statement: [Shiyan City, isGatewayTo, Wudang Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wudang Mountains Context triple: [Shiyan City, isGatewayTo, Wudang Mountains]
-
A.
Wudang Mountains
chosen
The Wudang Mountains are a renowned Taoist sacred mountain range in central China, famous for its ancient temples, monasteries, and as a historic center of internal martial arts such as Tai Chi.
-
B.
Wuzhi Mountain
Wuzhi Mountain is a prominent, five-peaked mountain in Hainan, China, renowned as the island’s highest point and a symbol of its natural landscape.
-
C.
Shenlong Mountain
Shenlong Mountain is a scenic natural tourist destination in Guang’an, China, known for its mountainous landscapes and outdoor recreation.
-
D.
Zao Mountains
Zao Mountains is a volcanic mountain range in northeastern Japan known for its ski resorts, hot springs, and the crater lake Okama.
-
E.
Tianshou Mountain
Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998cfeb748190bfff06534d83cf97 |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:11 p.m.