Triple
T32852955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burdett, Kansas |
E840301
|
entity |
| Predicate | formerHighSchoolMascot |
P160133
|
FINISHED |
| Object | Burdett Tigers |
—
|
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: Burdett Tigers | Statement: [Burdett, Kansas, formerHighSchoolMascot, Burdett Tigers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHighSchoolMascot Context triple: [Burdett, Kansas, formerHighSchoolMascot, Burdett Tigers]
-
A.
mascotOfHighSchool
Indicates that one entity serves as the official mascot representing a particular high school.
-
B.
formerMascot
Indicates that an entity once served as a mascot for another entity but no longer holds that role.
-
C.
schoolMascotHistoric
chosen
Indicates that an entity served as a school’s mascot during a past or historical period, rather than being its current mascot.
-
D.
formerHighSchool
Indicates that one entity previously attended or was enrolled at the other entity as their high school.
-
E.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
- F. None of above.
Provenance (3 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 1, 2026, 1:17 a.m.