Triple
T12214972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aungier Street campus |
E291058
|
entity |
| Predicate | hostsProgrammesIn |
P62094
|
FINISHED |
| Object | business |
—
|
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: business | Statement: [Aungier Street campus, hostsProgrammesIn, business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsProgrammesIn Context triple: [Aungier Street campus, hostsProgrammesIn, business]
-
A.
hostsPrograms
chosen
Indicates that one entity provides the venue, platform, or infrastructure for programs organized, run, or presented by another entity.
-
B.
hostedShow
Indicates that one entity served as the host or presenter of a particular show or program involving the other entity.
-
C.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
D.
coordinatesProgramsOf
Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
-
E.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.