Triple
T9981326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahrir Square campus |
E196456
|
entity |
| Predicate | primaryInstitutionTypeServed |
P55410
|
FINISHED |
| Object | private research university |
—
|
LITERAL FINISHED |
How this triple was built (2 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: private research university | Statement: [Tahrir Square campus, primaryInstitutionTypeServed, private research university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstitutionTypeServed Context triple: [Tahrir Square campus, primaryInstitutionTypeServed, private research university]
-
A.
primaryInstitutionSupported
Indicates that one institution serves as the main or principal organization providing support to another entity.
-
B.
hasPrimaryInstitutionType
chosen
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
C.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
D.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
E.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
- F. None of above.
Provenance (3 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bb3dc481909c65c37303e44037 |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.