Triple
T3977951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New South Wales state election |
E85688
|
entity |
| Predicate | legislativeBodySizeLowerHouse |
P51739
|
FINISHED |
| Object | 93 members |
—
|
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: 93 members | Statement: [New South Wales state election, legislativeBodySizeLowerHouse, 93 members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeBodySizeLowerHouse Context triple: [New South Wales state election, legislativeBodySizeLowerHouse, 93 members]
-
A.
lowerHouseOf
Indicates that one entity is the lower chamber in the bicameral legislature of another governing body or jurisdiction.
-
B.
lowerHouse
Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
-
C.
hasLowerHouseSeats
chosen
Indicates the number of seats an entity holds in the lower house of a bicameral legislature.
-
D.
lowerHouseComposition
Indicates the makeup or distribution of seats among parties or groups within the lower house of a legislature.
-
E.
lowerHouseComposedOf
Indicates that a lower legislative house is made up of, or constituted by, specific members, parties, or organizational units.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.