Triple
T4201604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Tōhoku earthquake and tsunami |
E86077
|
entity |
| Predicate | seismicAftershocks |
P3828
|
FINISHED |
| Object | thousands of aftershocks over subsequent months |
—
|
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: thousands of aftershocks over subsequent months | Statement: [2011 Tōhoku earthquake and tsunami, seismicAftershocks, thousands of aftershocks over subsequent months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seismicAftershocks Context triple: [2011 Tōhoku earthquake and tsunami, seismicAftershocks, thousands of aftershocks over subsequent months]
-
A.
aftershocks
chosen
Indicates that one seismic event occurs as a subsequent, typically smaller tremor following a main earthquake.
-
B.
earthquakeSequence
Indicates a relationship where multiple earthquakes are linked as part of the same temporal or causal sequence of seismic events.
-
C.
earthquakeType
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
D.
hasEarthquakes
Indicates that the specified location or region experiences one or more earthquakes.
-
E.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.