Triple
T24915277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kissing Point |
E623965
|
entity |
| Predicate | wharfServes |
P157230
|
FINISHED |
| Object | Parramatta River ferry services |
—
|
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: Parramatta River ferry services | Statement: [Kissing Point, wharfServes, Parramatta River ferry services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wharfServes Context triple: [Kissing Point, wharfServes, Parramatta River ferry services]
-
A.
hasWharf
Indicates that one place or facility possesses or is equipped with a wharf for docking boats or ships.
-
B.
servedHarbour
Indicates that an entity provided service, support, or functions related to a harbour or port.
-
C.
harbourSide
Indicates a location or object that is situated alongside or directly adjacent to a harbour.
-
D.
expandedToWharves
Indicates that something has been enlarged or extended so that it now includes or reaches wharves.
-
E.
harbours
Indicates that one entity provides shelter, refuge, or concealment for another, often by keeping it safe or hidden.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4238b91d48190903e57456184af61 |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:28 a.m.