Triple
T34510638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem City School District |
E886007
|
entity |
| Predicate | hasSchoolMascotAt |
P52
|
FINISHED |
| Object | Salem High School (New Jersey) |
—
|
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: Salem High School (New Jersey) | Statement: [Salem City School District, hasSchoolMascotAt, Salem High School (New Jersey)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolMascotAt Context triple: [Salem City School District, hasSchoolMascotAt, Salem High School (New Jersey)]
-
A.
mascotOfHighSchool
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.
hasOfficialMascot
Indicates that an entity is formally represented or symbolized by a designated mascot.
-
E.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 1, 2026, 2:01 a.m.