Triple
T449761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advance Australia Fair |
E7100
|
entity |
| Predicate | hasCommonlySungVerses |
P1147
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Advance Australia Fair, hasCommonlySungVerses, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonlySungVerses Context triple: [Advance Australia Fair, hasCommonlySungVerses, 1]
-
A.
commonlySungStanzas
chosen
Indicates that certain stanzas of a song or poem are those most frequently sung or performed in practice.
-
B.
hasMultipleVerses
Indicates that something, typically a song, poem, or text, consists of more than one verse.
-
C.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
D.
hasGuestVerseBy
Indicates that a work (such as a song or track) includes a guest verse performed by a specified artist.
-
E.
approximateNumberOfVerses
Indicates an estimated or approximate count of verses associated with an entity.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef691cc8819091729eaac52c9457 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2ede1a1108190a4a06b3416ae6156 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.