Triple
T7439459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weifang |
E171707
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Zibo |
E174939
|
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: Zibo | Statement: [Weifang, borders, Zibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zibo Context triple: [Weifang, borders, Zibo]
-
A.
Zibo
chosen
Zibo is an industrial and historical city in eastern China known for its ceramics, petrochemical industry, and role as a former capital of the ancient State of Qi.
-
B.
Jining
Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
-
C.
Taierzhuang
Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
-
D.
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.
-
E.
Zouping
Zouping is a county-level city in eastern China's Shandong province, known for its industrial development and location near the Yellow River.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34c28648190a426b5d7623b41e8 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845f0ddfc8190a3070205d7124c6c |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 3:13 p.m.