Triple
T5265084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Vegas Aces |
E118918
|
entity |
| Predicate | WNBAFranchiseDebutYear |
P62702
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Las Vegas Aces, WNBAFranchiseDebutYear, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBAFranchiseDebutYear Context triple: [Las Vegas Aces, WNBAFranchiseDebutYear, 1997]
-
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.
oneOfOriginalWNBAFranchises
Indicates that the subject is one of the original franchises that formed the WNBA at its inception.
-
D.
WNBAAllDecadeTeam
Indicates that an individual was selected to a WNBA All-Decade Team, recognizing them as one of the league’s top players over a specific ten-year period.
-
E.
WNBAAllWNBAFirstTeamSelection
Indicates that an individual has been chosen for the WNBA All-WNBA First Team in a given season, recognizing them as one of the league’s top players at their position.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.