Triple
T4778974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale Bulldogs athletics |
E106124
|
entity |
| Predicate | hasMascotSpecies |
P52
|
FINISHED |
| Object | bulldog |
—
|
LITERAL 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: bulldog | Statement: [Yale Bulldogs athletics, hasMascotSpecies, bulldog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMascotSpecies Context triple: [Yale Bulldogs athletics, hasMascotSpecies, bulldog]
-
A.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
-
B.
isMascot
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
C.
hasCompanionMascot
Indicates that an entity is accompanied by or associated with a specific mascot serving as its companion.
-
D.
typeOfMascot
Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
-
E.
hasSiblingMascot
Indicates that one mascot is a sibling (e.g., brother or sister) of another 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.