Triple
T14245148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian Supreme Council of Universities |
E353111
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SCU
SCU is the acronym for Egypt’s Supreme Council of Universities, the national body overseeing and coordinating higher education institutions in the country.
|
E1087376
|
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: SCU | Statement: [Egyptian Supreme Council of Universities, shortName, SCU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCU Context triple: [Egyptian Supreme Council of Universities, shortName, SCU]
-
A.
SCU
SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
-
B.
SCU
SCU is the commonly used abbreviation for Sichuan University, a major comprehensive research university located in Chengdu, China.
-
C.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
-
D.
CUC
CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
-
E.
SCB
SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
- 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: SCU Triple: [Egyptian Supreme Council of Universities, shortName, SCU]
Generated description
SCU is the acronym for Egypt’s Supreme Council of Universities, the national body overseeing and coordinating higher education institutions in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCU Target entity description: SCU is the acronym for Egypt’s Supreme Council of Universities, the national body overseeing and coordinating higher education institutions in the country.
-
A.
SCU
SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
-
B.
SCU
SCU is the commonly used abbreviation for Sichuan University, a major comprehensive research university located in Chengdu, China.
-
C.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
-
D.
CUC
CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
-
E.
SCB
SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a9da52481909f580eb0df3e1922 |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b270c9c8190a573e53ca9af4e4b |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.