Triple
T187273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Management campus |
E4008
|
entity |
| Predicate | housesProgram |
P4624
|
FINISHED |
| Object | Master of Business Administration |
—
|
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: Master of Business Administration | Statement: [School of Management campus, housesProgram, Master of Business Administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housesProgram Context triple: [School of Management campus, housesProgram, Master of Business Administration]
-
A.
houses
Indicates that one entity serves as a dwelling or shelter for another entity.
-
B.
homeTo
chosen
Indicates that a place serves as the primary location, residence, or habitat for a person, group, or thing.
-
C.
house
Indicates that one entity serves as a dwelling or residence for another entity.
-
D.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
-
E.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594940e48190a3d8efbce46241c3 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25670feb081908e26a2543ebe7b3a |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.