Triple
T19164904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyun District |
E469153
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Miyun County |
—
|
NE NERFINISHED |
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: Miyun County | Statement: [Miyun District, formerName, Miyun County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miyun County Context triple: [Miyun District, formerName, Miyun County]
-
A.
Miyun District
chosen
Miyun District is a suburban district in northeastern Beijing, China, known for its scenic reservoirs, mountains, and sections of the Great Wall.
-
B.
Miyun Town
Miyun Town is the main urban center and administrative seat of Beijing’s Miyun District, known as a local hub for commerce and services northeast of the city.
-
C.
Shunyi District
Shunyi District is a suburban district of Beijing known for hosting Beijing Capital International Airport and a mix of residential, industrial, and international community areas.
-
D.
Chaoyang County
Chaoyang County is an administrative county in northeastern China, governed by the prefecture-level city of Chaoyang in Liaoning Province.
-
E.
Fuhai County
Fuhai County is an administrative region in northern Xinjiang, China, known for its lakeside landscapes, pastoral economy, and proximity to the Kazakhstan border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15e2720819084b1707497db26a2 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.