Triple
T1287147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Sutherland Theatre |
E27459
|
entity |
| Predicate | hasFlyTower |
P8955
|
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, hasFlyTower, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlyTower Context triple: [Joan Sutherland Theatre, hasFlyTower, yes]
-
A.
hasTower
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
C.
hasSkyway
Indicates that there is an elevated, usually enclosed walkway or bridge connecting two or more structures or areas.
-
D.
hasControlTower
Indicates that one entity possesses, hosts, or is equipped with a control tower that manages or oversees its operations.
-
E.
towerName
Indicates the specific name assigned to a tower in the relationship.
- 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_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. |
Created at: March 1, 2026, 7:51 p.m.