Triple
T2602310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WEEI (AM) |
E58371
|
entity |
| Predicate | hasSportsTalkShows |
P39558
|
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: [WEEI (AM), hasSportsTalkShows, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsTalkShows Context triple: [WEEI (AM), hasSportsTalkShows, yes]
-
A.
hasRadioShow
Indicates that an entity hosts, produces, or is responsible for a radio show.
-
B.
hasSportsStatus
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
-
C.
hasConferenceSport
Indicates that an institution participates in or is associated with a particular sport within a specific athletic conference.
-
D.
sportsProgram
Indicates a relationship where an entity is a sports-related program, event, or broadcast organized or provided by another entity.
-
E.
hasSportingEvent
Indicates that a sporting event is associated with, held at, or organized by a given entity.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1c7b6e48190be9a0c31069df797 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:49 p.m.