Triple
T31345237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Saud University Medical City |
E799429
|
entity |
| Predicate | primaryTeachingFacilityFor |
P46882
|
FINISHED |
| Object |
King Saud University College of Medicine
King Saud University College of Medicine is a leading medical school in Riyadh, Saudi Arabia, known for training physicians and conducting biomedical research within King Saud University.
|
E40065
|
NE FINISHED |
How this triple was built (3 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: King Saud University College of Medicine | Statement: [King Saud University Medical City, primaryTeachingFacilityFor, King Saud University College of Medicine]
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: King Saud University College of Medicine Triple: [King Saud University Medical City, primaryTeachingFacilityFor, King Saud University College of Medicine]
Generated description
King Saud University College of Medicine is a leading medical school in Riyadh, Saudi Arabia, known for training physicians and conducting biomedical research within King Saud University.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTeachingFacilityFor Context triple: [King Saud University Medical City, primaryTeachingFacilityFor, King Saud University College of Medicine]
-
A.
primaryEducationalInstitution
Indicates that one educational institution is the main or principal place of formal education for a given entity.
-
B.
educationFacility
chosen
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
C.
principalSchoolIn
Indicates that an individual serves as the principal (head administrator) of a particular school.
-
D.
governingSchool
Indicates that one school has administrative or regulatory authority over another school or educational institution.
-
E.
educationalInstitutionServed
Indicates that one entity provides services, support, or resources to a particular educational institution.
- F. None of above.
Provenance (6 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2a721ad288819086c24cf4cb790dab |
completed | June 11, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_6a2a72e428ac8190a375710906f08dfb |
completed | June 11, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2a93b1ab148190897e05b560a79885 |
completed | June 11, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:17 p.m.