Triple
T30094822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putnam County Spelling Bee |
E764832
|
entity |
| Predicate | awardInFiction |
P77902
|
FINISHED |
| Object | county spelling championship trophy |
—
|
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: county spelling championship trophy | Statement: [Putnam County Spelling Bee, awardInFiction, county spelling championship trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardInFiction Context triple: [Putnam County Spelling Bee, awardInFiction, county spelling championship trophy]
-
A.
awardWithinFiction
chosen
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
-
B.
novelAward
Indicates that an entity has received an award specifically for a novel.
-
C.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
-
D.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
E.
awardLanguage
Indicates that an award is given specifically for works or achievements in a particular language.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 7:07 p.m.