Triple
T18314457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaoxianchun |
E438718
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Dezhou, Shandong |
—
|
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: Dezhou, Shandong | Statement: [Empress Xiaoxianchun, deathPlace, Dezhou, Shandong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dezhou, Shandong Context triple: [Empress Xiaoxianchun, deathPlace, Dezhou, Shandong]
-
A.
Dezhou
chosen
Dezhou is a prefecture-level city in northwestern Shandong Province, China, known as a regional transport hub and for its agricultural and food-processing industries.
-
B.
Qingzhou
Qingzhou is a historic county-level city in eastern China known for its cultural heritage and location in central Shandong Province.
-
C.
Zouping
Zouping is a county-level city in eastern China's Shandong province, known for its industrial development and location near the Yellow River.
-
D.
Tengzhou City
Tengzhou City is a county-level city in southern Shandong Province, China, known for its long history and role as an important regional industrial and transportation hub.
-
E.
Binzhou
Binzhou is a prefecture-level city in northern Shandong Province, China, located near the lower reaches of the Yellow River and known for its developing industrial and agricultural economy.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021b7e2c81908cd3b6684ab899f6 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.