Triple
T24897607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Ponsford |
E623187
|
entity |
| Predicate | firstClassTeam |
P168012
|
FINISHED |
| Object | Victoria |
—
|
NE NERFINISHED |
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: Victoria | Statement: [Bill Ponsford, firstClassTeam, Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstClassTeam Context triple: [Bill Ponsford, firstClassTeam, Victoria]
-
A.
firstOverallTeam
Indicates that the referenced team finished in first place overall in a competition, league, or ranking.
-
B.
team1
Indicates that the referenced entity is the first team or side participating in a competitive or relational context.
-
C.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
-
D.
primaryTeam
Indicates that one entity is the main or principal team associated with another entity, such as a person, project, or organization.
-
E.
firstWinnerTeam
Indicates that the referenced team is the one that secured first place or victory in a given competition or event.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 18, 2026, 5:26 a.m.