Triple
T7117888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiges |
E165864
|
entity |
| Predicate | associatedWithClubPremierships |
P35260
|
FINISHED |
| Object | AFL premierships |
—
|
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: AFL premierships | Statement: [Tiges, associatedWithClubPremierships, AFL premierships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClubPremierships Context triple: [Tiges, associatedWithClubPremierships, AFL premierships]
-
A.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football club.
-
B.
associatedWithChampionshipTeams
chosen
Indicates a relationship where an entity has a connection or involvement with one or more championship-winning teams.
-
C.
clubManagedLeagueTitles
Indicates that a club has managed (coached) a team to one or more league title victories.
-
D.
clubAppearances
Indicates the number of official matches a player has played for a particular club.
-
E.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e618bdac8190be291468b7d977bb |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.