Triple
T13866645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA awards |
E333342
|
entity |
| Predicate | seasonPhaseCovered |
P112172
|
FINISHED |
| Object | regular season |
—
|
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: regular season | Statement: [WNBA awards, seasonPhaseCovered, regular season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonPhaseCovered Context triple: [WNBA awards, seasonPhaseCovered, regular season]
-
A.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
B.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
C.
seasonWeek
Indicates the specific week within a defined season during which an event or state occurs.
-
D.
seasonResumptionState
Indicates the current status or phase of a season’s restart or continuation after a pause or interruption.
-
E.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:14 p.m.