Triple
T21789609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1939 Erzincan earthquake |
E537933
|
entity |
| Predicate | surfaceDisplacement |
P145656
|
FINISHED |
| Object | up to several meters of lateral offset |
—
|
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: up to several meters of lateral offset | Statement: [1939 Erzincan earthquake, surfaceDisplacement, up to several meters of lateral offset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceDisplacement Context triple: [1939 Erzincan earthquake, surfaceDisplacement, up to several meters of lateral offset]
-
A.
displacementSurfaced
Indicates that a previously displaced entity has reappeared or become exposed at a surface or boundary.
-
B.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
C.
surfaceGravityAnomaly
Indicates a deviation of an object's local surface gravitational acceleration from a reference or expected gravitational field.
-
D.
surfacePressure
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
-
E.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621ed2b481909e3df17aee9cd8f7 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:52 p.m.