Triple
T18831399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 Turkey–Syria earthquakes |
E460538
|
entity |
| Predicate | secondMajorEarthquakeMagnitude |
P5297
|
FINISHED |
| Object | 7.5 Mw |
—
|
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: 7.5 Mw | Statement: [2023 Turkey–Syria earthquakes, secondMajorEarthquakeMagnitude, 7.5 Mw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondMajorEarthquakeMagnitude Context triple: [2023 Turkey–Syria earthquakes, secondMajorEarthquakeMagnitude, 7.5 Mw]
-
A.
earthquakeMagnitude
chosen
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
B.
notableAftershockMagnitude
Indicates that the magnitude value corresponds to a particularly significant or noteworthy aftershock following a main seismic event.
-
C.
lastMajorEarthquakeName
Indicates the name of the most recent major earthquake associated with a given entity (such as a location or region).
-
D.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
E.
facedMajorEarthquake
Indicates that an entity has experienced or been subjected to a significant or severe earthquake event.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.