Triple
T35004076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Settima Domenica di Pasqua |
E1009761
|
entity |
| Predicate | èAssociataAlTempo |
P88011
|
FINISHED |
| Object | cinquantesimo giorno circa dopo Pasqua |
—
|
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: cinquantesimo giorno circa dopo Pasqua | Statement: [Settima Domenica di Pasqua, èAssociataAlTempo, cinquantesimo giorno circa dopo Pasqua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: èAssociataAlTempo Context triple: [Settima Domenica di Pasqua, èAssociataAlTempo, cinquantesimo giorno circa dopo Pasqua]
-
A.
associatedWithWeather
Indicates a relationship where something is connected or related to weather conditions or phenomena.
-
B.
temporal
chosen
Indicates a relationship that situates one event, state, or entity in time relative to another (e.g., before, after, or during).
-
C.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
D.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
E.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.