Triple
T19383141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DePaul Blue Demons women's basketball |
E484862
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | DIBS |
—
|
NE NERFINISHED |
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: DIBS | Statement: [DePaul Blue Demons women's basketball, mascot, DIBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DIBS Context triple: [DePaul Blue Demons women's basketball, mascot, DIBS]
-
A.
DIBS
chosen
DIBS is the costumed blue demon mascot representing DePaul University’s athletic teams, the Blue Demons.
-
B.
DIBA
DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
-
C.
DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
-
D.
DBU
DBU is the Danish Football Association, the governing body responsible for organizing and overseeing football activities and national teams in Denmark.
-
E.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a614cf88190b561eafaa350ce19 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.