Triple
T13477811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shandong Normal University |
E318293
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SDNU
SDNU is the commonly used abbreviation for Shandong Normal University, a major teacher-training and comprehensive university located in Shandong Province, China.
|
E1043523
|
NE FINISHED |
How this triple was built (4 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: SDNU | Statement: [Shandong Normal University, shortName, SDNU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDNU Context triple: [Shandong Normal University, shortName, SDNU]
-
A.
CSUST
CSUST is a Chinese university in Changsha, Hunan, specializing in science, engineering, and technology disciplines.
-
B.
SCAU
SCAU is a French architectural firm known for designing major public and sports facilities, including the redevelopment of Marseille’s Stade Vélodrome.
-
C.
SCUT
SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
-
D.
CQUPT
CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
-
E.
NUAA
NUAA is a leading Chinese university in Nanjing specializing in aeronautics, astronautics, and engineering disciplines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SDNU Triple: [Shandong Normal University, shortName, SDNU]
Generated description
SDNU is the commonly used abbreviation for Shandong Normal University, a major teacher-training and comprehensive university located in Shandong Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SDNU Target entity description: SDNU is the commonly used abbreviation for Shandong Normal University, a major teacher-training and comprehensive university located in Shandong Province, China.
-
A.
CSUST
CSUST is a Chinese university in Changsha, Hunan, specializing in science, engineering, and technology disciplines.
-
B.
SCAU
SCAU is a French architectural firm known for designing major public and sports facilities, including the redevelopment of Marseille’s Stade Vélodrome.
-
C.
SCUT
SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
-
D.
CQUPT
CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
-
E.
NUAA
NUAA is a leading Chinese university in Nanjing specializing in aeronautics, astronautics, and engineering disciplines.
- F. None of above. chosen
Provenance (5 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746318490819095a5697cc396eb6f |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74ce7d64c8190ba9f1ed59af4bd9e |
completed | May 3, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74d5389f08190826f0e550c8bb6c2 |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 9, 2026, 9:42 p.m.