Triple
T37322909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tāmaki Campus |
E926527
|
entity |
| Predicate | hostedProgrammeType |
P62094
|
FINISHED |
| Object | health programmes |
—
|
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: health programmes | Statement: [Tāmaki Campus, hostedProgrammeType, health programmes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedProgrammeType Context triple: [Tāmaki Campus, hostedProgrammeType, health programmes]
-
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.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
D.
festivalTypeHosted
Indicates that a particular location or organizer hosts festivals of a specified type.
-
E.
stationProgram
Indicates a relationship where a specific program is associated with, broadcast by, or scheduled on a particular station.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.