Triple
T15551774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorian Legislative Council |
E370764
|
entity |
| Predicate | typeOfHouse |
P119140
|
FINISHED |
| Object | state upper house |
—
|
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: state upper house | Statement: [Victorian Legislative Council, typeOfHouse, state upper house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHouse Context triple: [Victorian Legislative Council, typeOfHouse, state upper house]
-
A.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
B.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
-
C.
typicalHouse
Indicates that something is a standard or representative example of a house in terms of its usual features, structure, or characteristics.
-
D.
house
Indicates that one entity serves as a dwelling or residence for another entity.
-
E.
homeFieldType
Indicates the type or category of field that serves as the primary or home venue associated with an entity.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:08 a.m.