Triple
T37984896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bloods |
E947660
|
entity |
| Predicate | associatedWithPremiership |
P204511
|
FINISHED |
| Object | 1909 VFL premiership |
—
|
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: 1909 VFL premiership | Statement: [The Bloods, associatedWithPremiership, 1909 VFL premiership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPremiership Context triple: [The Bloods, associatedWithPremiership, 1909 VFL premiership]
-
A.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
B.
premiershipWonYear
Indicates the specific year in which an entity won a premiership title.
-
C.
notablePremiership
Indicates that an entity is notably recognized for having held the office of prime minister or led a government in a distinguished or significant premiership.
-
D.
premiershipYearAsPlayer
Indicates the year in which an individual participated as a player on a team that won a premiership or championship title.
-
E.
premiershipCoachWith
Indicates a coaching relationship where a coach has led a team to a premiership (championship) title.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.