Triple
T22289740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notti magiche inseguendo un goal |
E550960
|
entity |
| Predicate | timePeriodAssociatedWith |
P123510
|
FINISHED |
| Object | summer 1990 |
—
|
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: summer 1990 | Statement: [Notti magiche inseguendo un goal, timePeriodAssociatedWith, summer 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodAssociatedWith Context triple: [Notti magiche inseguendo un goal, timePeriodAssociatedWith, summer 1990]
-
A.
timePeriodAttributed
chosen
Indicates that a specific time period is assigned or associated with an entity as its relevant temporal context.
-
B.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
D.
timePeriodQualifier
Indicates how a time-related statement or value is further specified or constrained, such as by defining its scope, phase, or contextual condition within a broader time period.
-
E.
timePeriodCategory
Indicates the classification of a time period into a specific category or type (e.g., era, phase, or temporal grouping).
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560adde88190961d8fc24c1c4b3c |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.