Triple
T919443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Liberty |
E19848
|
entity |
| Predicate | oneOfOriginalWNBAFranchises |
P22376
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [New York Liberty, oneOfOriginalWNBAFranchises, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOriginalWNBAFranchises Context triple: [New York Liberty, oneOfOriginalWNBAFranchises, yes]
-
A.
WNBAteam
Indicates that the subject is a team that competes in the Women’s National Basketball Association (WNBA).
-
B.
WNBAFinalsAppearances
Indicates the number of times an entity has participated in the WNBA Finals series.
-
C.
wonWNBAChampionship
Indicates that an entity has achieved victory in the WNBA Finals and secured a WNBA championship title.
-
D.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
-
E.
reachedWNBAFinals
Indicates that an entity (typically a team) advanced to and competed in the championship series of the WNBA season.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.