Triple
T13320865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shandong University |
E317310
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object | Weihai |
E177120
|
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: Weihai | Statement: [Shandong University, hasCampusIn, Weihai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weihai Context triple: [Shandong University, hasCampusIn, Weihai]
-
A.
Weihai
chosen
Weihai is a coastal city in eastern China known for its strategic location on the Yellow Sea, maritime history, and role as a major port and tourist destination.
-
B.
Qingdao
Qingdao is a major coastal city in eastern China known for its port, beaches, German colonial architecture, and Tsingtao Brewery.
-
C.
Yantai
Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
-
D.
Foochow
Foochow is an older English romanization of the name of Fuzhou, the capital city of Fujian Province in southeastern China.
-
E.
Laizhou
Laizhou is a county-level coastal city in northeastern Shandong Province, China, known for its salt, gold, and chemical industries.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992ab83c8190982d9f54dff6919f |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73061e90c81909badb0cd12b304a2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:30 p.m.