Triple
T3146312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 WNBA season |
E65771
|
entity |
| Predicate | ElenaDelleDonneFieldGoalPercentage |
P46373
|
FINISHED |
| Object | 51.5% |
—
|
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: 51.5% | Statement: [2019 WNBA season, ElenaDelleDonneFieldGoalPercentage, 51.5%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ElenaDelleDonneFieldGoalPercentage Context triple: [2019 WNBA season, ElenaDelleDonneFieldGoalPercentage, 51.5%]
-
A.
goalsByMeganRapinoe
Indicates the scoring events (goals) that are attributed to Megan Rapinoe.
-
B.
WNBAAllTimeScoringLeader
Indicates that the subject is recognized as the player with the highest total points scored in WNBA history.
-
C.
goalsByAmyRodriguez
Indicates that the event or record involves goals scored by Amy Rodriguez.
-
D.
WNBAFinalsAppearances
Indicates the number of times an entity has participated in the WNBA Finals series.
-
E.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.