Triple
T10234144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooperstown Art Association |
E243418
|
entity |
| Predicate | typeOfEventHosted |
P58154
|
FINISHED |
| Object | art shows |
—
|
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: art shows | Statement: [Cooperstown Art Association, typeOfEventHosted, art shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEventHosted Context triple: [Cooperstown Art Association, typeOfEventHosted, art shows]
-
A.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
B.
hostsTypeOfEvent
chosen
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
C.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
-
D.
eventTypeOrganized
Indicates that an entity organized or arranged a specific type or category of event.
-
E.
partyCategory
Indicates the classification or type assigned to a party within a given context or system.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:21 a.m.