Triple
T33246629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groningen gas extraction area |
E851118
|
entity |
| Predicate | HuizingeEarthquakeMagnitude |
P5297
|
FINISHED |
| Object | 3.6 |
—
|
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: 3.6 | Statement: [Groningen gas extraction area, HuizingeEarthquakeMagnitude, 3.6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HuizingeEarthquakeMagnitude Context triple: [Groningen gas extraction area, HuizingeEarthquakeMagnitude, 3.6]
-
A.
earthquakeMagnitude
chosen
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
B.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
C.
earthquakeType
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
D.
populationImpact2010Earthquake
Indicates the effect or consequences that the 2010 earthquake had on a population, such as changes in size, distribution, or demographic characteristics.
-
E.
largestRecordedEarthquake
Indicates that the related entity experienced the most powerful earthquake ever recorded for its category or region.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6daf4ae588190b8884f67b6bc616d |
completed | May 3, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69f6d82fef788190b9ad19a36c0312dc |
completed | May 3, 2026, 5:08 a.m. |
Created at: May 1, 2026, 1:31 a.m.