Triple
T32365819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nittany Nation |
E826986
|
entity |
| Predicate | relatedToMascot |
P52
|
FINISHED |
| Object | Nittany Lion |
E198759
|
NE FINISHED |
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: Nittany Lion | Statement: [Nittany Nation, relatedToMascot, Nittany Lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToMascot Context triple: [Nittany Nation, relatedToMascot, Nittany Lion]
-
A.
isMascotCounterpartOf
Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
-
B.
partOfMascotLineage
Indicates that one mascot is historically or genealogically derived from, or a successor in the lineage of, another mascot.
-
C.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
-
D.
hasCompanionMascot
Indicates that an entity is accompanied by or associated with a specific mascot serving as its companion.
-
E.
typeOfMascot
Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
- F. None of above.
Provenance (4 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a33e8ae42d48190baba055cb4ceb1cf |
completed | June 18, 2026, 12:46 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:50 a.m.