Triple
T31522292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutchmen |
E804240
|
entity |
| Predicate | usesAsMascotIdentity |
P101934
|
FINISHED |
| Object | Lebanon Valley College |
—
|
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: Lebanon Valley College | Statement: [Dutchmen, usesAsMascotIdentity, Lebanon Valley College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAsMascotIdentity Context triple: [Dutchmen, usesAsMascotIdentity, Lebanon Valley College]
-
A.
hasMascotIdentity
chosen
Indicates that an entity serves as or possesses the role/identity of a mascot for another entity.
-
B.
usesLiveMascot
Indicates that an entity employs a real, living mascot (such as an animal or person) to represent or promote itself.
-
C.
usesMascotNameDerivedFrom
Indicates that one entity adopts and uses a mascot whose name is derived from, based on, or inspired by another entity.
-
D.
isMascot
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
E.
isMascotCounterpartOf
Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 30, 2026, 9:56 p.m.