Triple
T15319785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuorisalone |
E366256
|
entity |
| Predicate | themeVariesBy |
P36743
|
FINISHED |
| Object | year |
—
|
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: year | Statement: [Fuorisalone, themeVariesBy, year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeVariesBy Context triple: [Fuorisalone, themeVariesBy, year]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
C.
themeTreatment
Indicates that a treatment is applied to, affects, or is directed toward a particular theme or subject.
-
D.
termVariesBy
chosen
Indicates that the value or meaning of a term changes depending on a specified factor, such as context, dimension, or condition.
-
E.
titleVariesBy
Indicates that the title associated with an entity changes depending on context, conditions, or another varying attribute.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd356b881908f054b64eee6a371 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.