Triple
T28314860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAA Finals |
E714105
|
entity |
| Predicate | 1947OpposingTeam |
P48918
|
FINISHED |
| Object | Chicago Stags |
—
|
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: Chicago Stags | Statement: [BAA Finals, 1947OpposingTeam, Chicago Stags]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1947OpposingTeam Context triple: [BAA Finals, 1947OpposingTeam, Chicago Stags]
-
A.
opponentGroup
Indicates that one group is in opposition or conflict with another group, typically as a rival, competitor, or adversary.
-
B.
hasOpposingTeamsLedBy
Indicates a relationship where a competitive event or context features two opposing teams, each directed or managed by a specific leader.
-
C.
wasOpponentOf
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
-
D.
opposingTeamInNotableEvent
chosen
Indicates that one entity served as the opposing team of another entity in a specific notable event or competition.
-
E.
opponentStarPlayerTeam
Indicates that the referenced team is the one for which the opponent’s star player plays.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644e49c448190a394f783d9fc3129 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:42 p.m.