Triple
T24261861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesquite Independent School District |
E604725
|
entity |
| Predicate | hasSchoolMascotExample |
P52
|
FINISHED |
| Object | Skeeters (Mesquite High School) |
—
|
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: Skeeters (Mesquite High School) | Statement: [Mesquite Independent School District, hasSchoolMascotExample, Skeeters (Mesquite High School)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolMascotExample Context triple: [Mesquite Independent School District, hasSchoolMascotExample, Skeeters (Mesquite High School)]
-
A.
mascotOfHighSchool
Indicates that one entity serves as the official mascot representing a particular high school.
-
B.
hasSchoolEmblem
Indicates that a school possesses or is represented by a specific emblem or symbol.
-
C.
hasOfficialMascot
Indicates that an entity is formally represented or symbolized by a designated mascot.
-
D.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
-
E.
mascotExample
Indicates that one entity serves as a representative mascot or illustrative example of another entity.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.