Triple
T30509743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History Man |
E776377
|
entity |
| Predicate | settingUniversityType |
P180724
|
FINISHED |
| Object | red-brick 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: red-brick university | Statement: [The History Man, settingUniversityType, red-brick university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingUniversityType Context triple: [The History Man, settingUniversityType, red-brick university]
-
A.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
B.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
-
C.
universityUnitType
Indicates the specific category or type of organizational unit within a university (such as department, faculty, school, or institute) that an entity belongs to.
-
D.
campusOfUniversityType
Indicates that a campus belongs to, is part of, or is categorized under a particular type of university.
-
E.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
- F. None of above. chosen
Provenance (4 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 29, 2026, 8:16 p.m.