Triple
T11675949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 New South Wales state election |
E277490
|
entity |
| Predicate | numberOfLegislativeAssemblySeats |
P11035
|
FINISHED |
| Object | 93 |
—
|
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 | Statement: [2019 New South Wales state election, numberOfLegislativeAssemblySeats, 93]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLegislativeAssemblySeats Context triple: [2019 New South Wales state election, numberOfLegislativeAssemblySeats, 93]
-
A.
legislativeAssemblySeats
chosen
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
B.
legislativeCouncilSeats
Indicates the number of seats held or allocated in a legislative council within a given political or administrative context.
-
C.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
D.
parliamentarySeatsTotal
Indicates the total number of seats in a given parliament or parliamentary body.
-
E.
hasLegislativeChamberSeats
Indicates that a legislative chamber holds or is allocated a specified number of seats.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.