Triple
T16841543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felpersham |
E409423
|
entity |
| Predicate | hasCulturalRoleInFiction |
P3795
|
FINISHED |
| Object | venue for arts and events |
—
|
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: venue for arts and events | Statement: [Felpersham, hasCulturalRoleInFiction, venue for arts and events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalRoleInFiction Context triple: [Felpersham, hasCulturalRoleInFiction, venue for arts and events]
-
A.
cultureInFiction
Indicates that a work of fiction features, represents, or is thematically centered on a particular culture.
-
B.
hasCulturalRole
chosen
Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
-
C.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
-
D.
hasPlaceInFiction
Indicates that a fictional work or element is associated with, set in, or takes place within a particular fictional location or setting.
-
E.
usedInFictionalWork
Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.