Triple
T7174993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent Cotchin |
E167296
|
entity |
| Predicate | captainedToPremiership |
P48157
|
FINISHED |
| Object | Richmond Football Club 2017 AFL 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: Richmond Football Club 2017 AFL premiership | Statement: [Trent Cotchin, captainedToPremiership, Richmond Football Club 2017 AFL premiership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: captainedToPremiership Context triple: [Trent Cotchin, captainedToPremiership, Richmond Football Club 2017 AFL premiership]
-
A.
captainedPremiershipYear
chosen
Indicates the year in which an entity served as captain of a team in a premiership (championship) competition.
-
B.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
C.
premiersCaptain
Indicates that an entity serves as the captain of a team or side in their debut or first appearance at a particular competitive level or event.
-
D.
secondPremiershipYear
Indicates the year in which an entity held or achieved its second term of premiership.
-
E.
wonMinorPremiership
Indicates that a team finished first in the regular-season standings, thereby winning the minor premiership.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:48 p.m.