Triple
T7862094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geelong Football Club |
E182523
|
entity |
| Predicate | hasWonLeaguePremierships |
P63945
|
FINISHED |
| Object | multiple times |
—
|
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: multiple times | Statement: [Geelong Football Club, hasWonLeaguePremierships, multiple times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonLeaguePremierships Context triple: [Geelong Football Club, hasWonLeaguePremierships, multiple times]
-
A.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
B.
leagueChampionships
Indicates the number of league championship titles an entity has won.
-
C.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
-
D.
numberOfLeagueTitles
chosen
Indicates the total count of league championship titles that an entity has won.
-
E.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36be5f408190b82a097b0825c57a |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:53 p.m.