Triple
T19779571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Giovanni Battista Church, Mogno |
E475094
|
entity |
| Predicate | avalancheDestructionYear |
P11807
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [San Giovanni Battista Church, Mogno, avalancheDestructionYear, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: avalancheDestructionYear Context triple: [San Giovanni Battista Church, Mogno, avalancheDestructionYear, 1986]
-
A.
destructionYear
chosen
Indicates the year in which an entity was destroyed or ceased to exist due to destructive events or actions.
-
B.
demolitionYearApprox
Indicates that an entity was demolished in or around a particular year, where the year is an approximate rather than an exact value.
-
C.
destroyedCityYear
Indicates that a specific city was destroyed in a particular year.
-
D.
explosionDateApprox
Indicates that an explosion occurred on or around a specified date, where the exact date is not known or is only approximate.
-
E.
notableAccidentYear
Indicates the year in which a notable accident involving the subject occurred.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538230488190b45cd8aaec658f7f |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.