Triple
T35566576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henley Beach Road |
E1027793
|
entity |
| Predicate | suburbAtWesternEnd |
P161180
|
FINISHED |
| Object | Henley Beach |
—
|
NE NERFINISHED |
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: Henley Beach | Statement: [Henley Beach Road, suburbAtWesternEnd, Henley Beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbAtWesternEnd Context triple: [Henley Beach Road, suburbAtWesternEnd, Henley Beach]
-
A.
isEasternSuburbOf
Indicates that one place is a suburb located to the east of another place.
-
B.
outerTerminusSuburb
Indicates that a suburb functions as the outer terminus (end point) of a transport or service route.
-
C.
neighboringSuburbSouth
Indicates that one suburb is directly to the south of, and adjacent to, another suburb.
-
D.
isRiversideSuburbOf
Indicates that a suburb is located alongside or very near a river within the boundaries or sphere of a specified city or town.
-
E.
separatesWesternEndOf
chosen
Indicates that one entity forms a dividing boundary that marks off or distinguishes the western end of another entity.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.