Triple
T35045513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siraf |
E1011183
|
entity |
| Predicate | timeOfMajorEarthquake |
P194628
|
FINISHED |
| Object | 10th century |
—
|
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: 10th century | Statement: [Siraf, timeOfMajorEarthquake, 10th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorEarthquake Context triple: [Siraf, timeOfMajorEarthquake, 10th century]
-
A.
lastMajorEarthquakeYear
Indicates the calendar year in which the most recent major earthquake affecting the referenced entity occurred.
-
B.
earthquakeMagnitude
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
C.
largestEarthquakeDate
Indicates the date on which the largest earthquake in a given context occurred.
-
D.
largestRecordedEarthquake
Indicates that the related entity experienced the most powerful earthquake ever recorded for its category or region.
-
E.
earthquakeDate
Indicates the specific calendar date on which an earthquake event occurred.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: May 3, 2026, 4:01 p.m.