Triple
T6934008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albury Wodonga Bandits |
E160505
|
entity |
| Predicate | hasMen'sTeam |
P42591
|
FINISHED |
| Object | Albury Wodonga Bandits men |
—
|
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: Albury Wodonga Bandits men | Statement: [Albury Wodonga Bandits, hasMen'sTeam, Albury Wodonga Bandits men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMen'sTeam Context triple: [Albury Wodonga Bandits, hasMen'sTeam, Albury Wodonga Bandits men]
-
A.
hasMenTeam
chosen
Indicates that an entity possesses, is associated with, or fields a men’s team.
-
B.
refersToMenTeam
Indicates that something is associated with, designates, or pertains specifically to a men's team.
-
C.
hasGenderedTeam
Indicates that a team is organized or classified according to the gender of its members.
-
D.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
-
E.
menTeamPlaysIn
Indicates that a men's team participates or competes in a particular league, division, or competition.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.