Triple
T10613949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian electoral calendar 2023 |
E276071
|
entity |
| Predicate | chronologicallyOrdered |
P94975
|
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: [Australian electoral calendar 2023, chronologicallyOrdered, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicallyOrdered Context triple: [Australian electoral calendar 2023, chronologicallyOrdered, true]
-
A.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
-
B.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
-
C.
chronologicallyClassifiedAs
Indicates that something is assigned to or placed within a specific time period or chronological category.
-
D.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
E.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:33 p.m.