Triple
T772974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Clancy Memorial Trophy |
E16321
|
entity |
| Predicate | isTeamSpecific |
P19011
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [King Clancy Memorial Trophy, isTeamSpecific, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTeamSpecific Context triple: [King Clancy Memorial Trophy, isTeamSpecific, false]
-
A.
supportsTeam
Indicates that one entity provides backing, assistance, or endorsement to a particular team.
-
B.
hasTeamStore
Indicates that an entity operates, is associated with, or provides access to a specific team-related retail store.
-
C.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
D.
isCollaboration
Indicates that two or more entities are jointly working together toward a shared goal or producing something in partnership.
-
E.
typeOfTeams
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a72eda6c81908205ae5a1e05cc20 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a508c42c8190850a0ac7844a3ea9 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.