Triple
T1171855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFL Championship Game |
E24929
|
entity |
| Predicate | firstChampionSeason |
P8181
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [AFL Championship Game, firstChampionSeason, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChampionSeason Context triple: [AFL Championship Game, firstChampionSeason, 1960]
-
A.
firstChampion
Indicates that one entity is the earliest or original champion or title-holder in relation to another entity.
-
B.
firstEditionSeason
Indicates the season or time period during which something (such as a work or product) was first published, released, or issued in its original edition.
-
C.
firstPlayed
Indicates that one entity was the earliest or initial thing (such as a song, game, or media item) that another entity engaged with or played.
-
D.
mostRecentChampion
Indicates that the subject is the entity that most recently won a particular competition, title, or championship.
-
E.
firstSeasonChampions
chosen
Indicates that the subject entity won the championship in the first season of the relevant competition or series.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bceb3f188190b8b767380fe5986f |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.