Triple
T3437928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League women's tennis |
E72498
|
entity |
| Predicate | championReceives |
P14849
|
FINISHED |
| Object | Ivy League women's tennis title |
—
|
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: Ivy League women's tennis title | Statement: [Ivy League women's tennis, championReceives, Ivy League women's tennis title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championReceives Context triple: [Ivy League women's tennis, championReceives, Ivy League women's tennis title]
-
A.
championedBy
Indicates that an entity is actively supported, promoted, or advocated for by another entity.
-
B.
champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
-
C.
championManager
Indicates that one entity serves as the manager, coach, or primary overseer responsible for the success or performance of a champion entity.
-
D.
championEnteringBout
Indicates that an entity who holds a championship title is entering or participating in a competitive bout or match.
-
E.
winnerReceives
chosen
Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f575cc8190866929b1e8930143 |
completed | March 8, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.