Triple
T8919395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing–Shanghai railway |
E212372
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Dezhou |
E563426
|
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: Dezhou | Statement: [Beijing–Shanghai railway, connects, Dezhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dezhou Context triple: [Beijing–Shanghai railway, connects, Dezhou]
-
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.
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.
-
C.
Qingzhou
Qingzhou is a historic county-level city in eastern China known for its cultural heritage and location in central Shandong Province.
-
D.
Zhucheng
Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
-
E.
Jining
Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc932f9848190a2571cfc28353088 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:56 p.m.