Triple
T37983446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICC Sydney Theatre |
E947617
|
entity |
| Predicate | partOfWaterfrontPrecinct |
—
|
GENERATED |
| Object | Darling Harbour waterfront redevelopment |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWaterfrontPrecinct Context triple: [ICC Sydney Theatre, partOfWaterfrontPrecinct, Darling Harbour waterfront redevelopment]
-
A.
locatedInWaterfrontArea
chosen
Indicates that something is situated within a designated waterfront area adjacent to a body of water.
-
B.
isCentralWaterfrontOf
Indicates that one location serves as the primary waterfront area or main waterside district of another place.
-
C.
locatedInWaterfrontTown
Indicates that the subject is situated within a town that is directly adjacent to or closely associated with a body of water, such as a sea, lake, or river.
-
D.
hasWaterfrontLocation
Indicates that an entity is situated directly adjacent to or along a body of water, such as a sea, lake, or river.
-
E.
hasWaterfrontArea
Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
- F. None of above.
Provenance (1 batch)
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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.