Triple
T13513071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gubeikou Pass |
E322686
|
entity |
| Predicate | ChinesePinyin |
P41219
|
FINISHED |
| Object | Gǔběikǒu |
E328092
|
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: Gǔběikǒu | Statement: [Gubeikou Pass, ChinesePinyin, Gǔběikǒu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gǔběikǒu Context triple: [Gubeikou Pass, ChinesePinyin, Gǔběikǒu]
-
A.
Gubeikou
chosen
Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
-
B.
Zhushikou
Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
-
C.
Wafangdian
Wafangdian is a county-level city in Liaoning Province, China, known for its bearing industry and as an important satellite city of Dalian.
-
D.
Wudaokou
Wudaokou is a bustling neighborhood in Beijing known for its universities, tech companies, and vibrant student nightlife.
-
E.
Xifengkou
Xifengkou is a historic mountain pass in northern China, strategically located within the Yan Mountains and long used as a key gateway for defense and transportation.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75492676c81909602745e2b6436cb |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.