Triple
T10533738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneider Trophy competition |
E248509
|
entity |
| Predicate | trophyFormat |
P92852
|
FINISHED |
| Object | challenge 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: challenge trophy | Statement: [Schneider Trophy competition, trophyFormat, challenge trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyFormat Context triple: [Schneider Trophy competition, trophyFormat, challenge trophy]
-
A.
trophyFeatures
Indicates that a trophy possesses or is characterized by certain features or attributes.
-
B.
trophyOfficialName
Indicates the official, formally recognized name assigned to a particular trophy.
-
C.
trophyCategory
chosen
Indicates the classification or type of award or trophy that an entity is associated with.
-
D.
trophyCount
Indicates the number of trophies associated with a given entity.
-
E.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a19b59c8190b00db7d5813ad37d |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:31 p.m.