Triple
T14672698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amatrice |
E344551
|
entity |
| Predicate | earthquakeCasualties |
P115284
|
FINISHED |
| Object | significant loss of life |
—
|
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: significant loss of life | Statement: [Amatrice, earthquakeCasualties, significant loss of life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earthquakeCasualties Context triple: [Amatrice, earthquakeCasualties, significant loss of life]
-
A.
populationImpact2010Earthquake
Indicates the effect or consequences that the 2010 earthquake had on a population, such as changes in size, distribution, or demographic characteristics.
-
B.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
C.
deformationEvents
Indicates that one or more deformation-related events (such as changes in shape, structure, or integrity) occur to or are associated with the referenced entity.
-
D.
earthquakeType
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
E.
hasEarthquakes
Indicates that the specified location or region experiences one or more earthquakes.
- F. None of above. chosen
Provenance (4 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.