Triple
T32306282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innwa |
E825378
|
entity |
| Predicate | sufferedEarthquake |
P5296
|
FINISHED |
| Object | 1839 Ava earthquake |
—
|
NE NERFINISHED |
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: 1839 Ava earthquake | Statement: [Innwa, sufferedEarthquake, 1839 Ava earthquake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sufferedEarthquake Context triple: [Innwa, sufferedEarthquake, 1839 Ava earthquake]
-
A.
facedMajorEarthquake
chosen
Indicates that an entity has experienced or been subjected to a significant or severe earthquake event.
-
B.
earthquakeCasualties
Indicates that an earthquake event resulted in a specified number or set of casualties (deaths and/or injuries).
-
C.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
D.
hasEarthquakes
Indicates that the specified location or region experiences one or more earthquakes.
-
E.
populationImpact2010Earthquake
Indicates the effect or consequences that the 2010 earthquake had on a population, such as changes in size, distribution, or demographic characteristics.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd83c5948190b534ba5d731a11ba |
completed | May 3, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:45 a.m.