Triple
T25783790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toorak railway station |
E649361
|
entity |
| Predicate | servesAreaCharacteristic |
P3938
|
FINISHED |
| Object | affluent residential area |
—
|
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: affluent residential area | Statement: [Toorak railway station, servesAreaCharacteristic, affluent residential area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAreaCharacteristic Context triple: [Toorak railway station, servesAreaCharacteristic, affluent residential area]
-
A.
serviceAreaCharacteristic
chosen
Indicates a relationship where a service area is associated with a specific attribute or feature that characterizes it.
-
B.
coreAreaCharacteristic
Indicates that a characteristic or feature is specifically associated with the core area of something, rather than its peripheral or secondary parts.
-
C.
characteristicOfZone
Indicates that a particular characteristic, feature, or property is associated with and defines a specific zone or area.
-
D.
areaServedType
Indicates the type or category of area that is served by an entity or service.
-
E.
hasCatchmentAreaCharacteristic
Indicates that a catchment area possesses a specified characteristic, feature, or property.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 22, 2026, 5:52 a.m.