Triple
T6946813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanston Street |
E160817
|
entity |
| Predicate | isMajorRetailArea |
P30026
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Swanston Street, isMajorRetailArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorRetailArea Context triple: [Swanston Street, isMajorRetailArea, true]
-
A.
hasMajorRetailCorridor
chosen
Indicates that a place contains or is associated with a primary commercial street or area characterized by a high concentration of retail businesses.
-
B.
hasRetailArea
Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
-
C.
isRegionalMall
Indicates that a shopping mall is classified as a regional mall, typically serving a broad geographic area with a wide range of stores and services.
-
D.
isInBusinessDistrict
Indicates that an entity is located within a designated business or commercial district area.
-
E.
isMajorCampusArea
Indicates that a given area constitutes a primary or significant part of a campus.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.