Triple
T21948896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou University |
E542008
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ZZU
ZZU is the commonly used abbreviation for Zhengzhou University, a major comprehensive public university located in Zhengzhou, Henan Province, China.
|
E1509995
|
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: ZZU | Statement: [Zhengzhou University, shortName, ZZU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZZU Context triple: [Zhengzhou University, shortName, ZZU]
-
A.
ZZU CRU
ZZU CRU is the official, highly spirited student fan section that supports Washington State University Cougars athletic teams.
-
B.
ZJUT
ZJUT is a major public university in Hangzhou, China, known for its strong engineering, science, and technology programs.
-
C.
SZU
SZU is the commonly used abbreviation for Shenzhen University, a comprehensive public university located in Shenzhen, China.
-
D.
SWUFE
SWUFE is a leading Chinese university specializing in finance, economics, and business education and research.
-
E.
HUST
HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
- 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: ZZU Triple: [Zhengzhou University, shortName, ZZU]
Generated description
ZZU is the commonly used abbreviation for Zhengzhou University, a major comprehensive public university located in Zhengzhou, Henan Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZZU Target entity description: ZZU is the commonly used abbreviation for Zhengzhou University, a major comprehensive public university located in Zhengzhou, Henan Province, China.
-
A.
ZZU CRU
ZZU CRU is the official, highly spirited student fan section that supports Washington State University Cougars athletic teams.
-
B.
ZJUT
ZJUT is a major public university in Hangzhou, China, known for its strong engineering, science, and technology programs.
-
C.
SZU
SZU is the commonly used abbreviation for Shenzhen University, a comprehensive public university located in Shenzhen, China.
-
D.
SWUFE
SWUFE is a leading Chinese university specializing in finance, economics, and business education and research.
-
E.
HUST
HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f4866c819087a3ef3650885266 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a62ca0b708190a7be985078a35718 |
completed | May 18, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a635712f08190aa89892eb7555156 |
completed | May 18, 2026, 12:54 a.m. |
Created at: April 16, 2026, 7:58 p.m.