Triple
T22041991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 Bolu–Gerede earthquake |
E544657
|
entity |
| Predicate | triggeredPhenomena |
P693
|
FINISHED |
| Object | surface rupture |
—
|
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: surface rupture | Statement: [1944 Bolu–Gerede earthquake, triggeredPhenomena, surface rupture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triggeredPhenomena Context triple: [1944 Bolu–Gerede earthquake, triggeredPhenomena, surface rupture]
-
A.
capturesPhenomenon
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
-
B.
examplePhenomenon
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
C.
encounteredPhenomenon
Indicates that an entity has come across, experienced, or observed a particular phenomenon.
-
D.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
E.
triggered
chosen
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12829c1c081909edc7544242c9c7a |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.