Triple
T1287149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Sutherland Theatre |
E27459
|
entity |
| Predicate | hasRehearsalSpaces |
P28086
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Joan Sutherland Theatre, hasRehearsalSpaces, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRehearsalSpaces Context triple: [Joan Sutherland Theatre, hasRehearsalSpaces, yes]
-
A.
hasReprise
Indicates that an action, theme, or element is repeated or returns after its initial occurrence.
-
B.
repertoireIncludes
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
C.
hasConferenceSpace
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
-
D.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
-
E.
ballroomSpace
Indicates that one entity provides or constitutes a ballroom area or venue space for events or activities.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d1a5508190b4461df77f560df4 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:51 p.m.