Triple
T25341316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankston railway station |
E635419
|
entity |
| Predicate | zoneRole |
P2160
|
FINISHED |
| Object | major interchange for Mornington Peninsula buses |
—
|
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: major interchange for Mornington Peninsula buses | Statement: [Frankston railway station, zoneRole, major interchange for Mornington Peninsula buses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneRole Context triple: [Frankston railway station, zoneRole, major interchange for Mornington Peninsula buses]
-
A.
zoningRole
Indicates the specific function, restriction, or regulatory status assigned to a property or area under zoning regulations.
-
B.
zone
chosen
Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
-
C.
CDCRole
Indicates that one entity holds a specific role or function within a clinical data collection (CDC) context relative to another entity.
-
D.
zoneBased
Indicates that the relationship or action is determined or constrained by specific geographic or logical zones.
-
E.
rangeRole
Indicates that the specified role is associated with, or applies to, the range (target) of a property or 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498b6672881909d3257dc6b52caa3 |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:32 p.m.