Triple
T9515647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yard |
E229517
|
entity |
| Predicate | hasAcademicBuildingsFor |
P40186
|
FINISHED |
| Object | engineering education |
—
|
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: engineering education | Statement: [The Yard, hasAcademicBuildingsFor, engineering education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicBuildingsFor Context triple: [The Yard, hasAcademicBuildingsFor, engineering education]
-
A.
hasAcademicFacilities
chosen
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
B.
hasMajorEducationalInstitutions
Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
-
C.
hasAcademicStrengthIn
Indicates that an entity possesses notable ability, proficiency, or strong performance in a particular academic subject or field.
-
D.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
E.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986d5af08190a001c5a5ff647d4d |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:58 p.m.