Triple
T31933227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufkin Independent School District |
E815311
|
entity |
| Predicate | schoolMascotAtLufkinHighSchool |
P109298
|
FINISHED |
| Object | Panthers |
—
|
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: Panthers | Statement: [Lufkin Independent School District, schoolMascotAtLufkinHighSchool, Panthers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolMascotAtLufkinHighSchool Context triple: [Lufkin Independent School District, schoolMascotAtLufkinHighSchool, Panthers]
-
A.
mascotOfHighSchool
chosen
Indicates that one entity serves as the official mascot representing a particular high school.
-
B.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
-
C.
schoolMascotHistoric
Indicates that an entity served as a school’s mascot during a past or historical period, rather than being its current mascot.
-
D.
mascotName
Indicates the name assigned to a mascot that represents an entity.
-
E.
mascotForSportLevel
Indicates that an entity serves as the mascot specifically for a given sport at a particular competitive or organizational level.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2311c7481909fdfa0067f3b5082 |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:04 a.m.