Triple
T10630068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Shanghai for Science and Technology |
E250428
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
USST
USST is a public research university in Shanghai, China, known for its strong programs in engineering, science, and technology.
|
E875151
|
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: USST | Statement: [University of Shanghai for Science and Technology, shortName, USST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USST Context triple: [University of Shanghai for Science and Technology, shortName, USST]
-
A.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
B.
USAT
USAT is the commonly used abbreviation for USA Triathlon, the national governing body for triathlon and related multisport disciplines in the United States.
-
C.
USAP
USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
-
D.
UST
UST is the IATA airport code for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
-
E.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
- 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: USST Triple: [University of Shanghai for Science and Technology, shortName, USST]
Generated description
USST is a public research university in Shanghai, China, known for its strong programs in engineering, science, and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USST Target entity description: USST is a public research university in Shanghai, China, known for its strong programs in engineering, science, and technology.
-
A.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
B.
USAT
USAT is the commonly used abbreviation for USA Triathlon, the national governing body for triathlon and related multisport disciplines in the United States.
-
C.
USAP
USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
-
D.
UST
UST is the IATA airport code for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
-
E.
UST
UST is a historic and prestigious Catholic university in Manila, Philippines, known as one of Asia’s oldest existing universities.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df93a2b88190a0f3a52b8e88f54f |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96babc290819096c0c914d038ba01 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d96df03c2881909af8501ecf6ac180 |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96f063d588190adcfd56b2b0afccf |
completed | April 10, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9 p.m.