Triple
T10611571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ava |
E276019
|
entity |
| Predicate | damageFromEarthquake |
P54661
|
FINISHED |
| Object | severe destruction of palaces and monasteries |
—
|
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: severe destruction of palaces and monasteries | Statement: [Ava, damageFromEarthquake, severe destruction of palaces and monasteries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damageFromEarthquake Context triple: [Ava, damageFromEarthquake, severe destruction of palaces and monasteries]
-
A.
facedMajorEarthquake
Indicates that an entity has experienced or been subjected to a significant or severe earthquake event.
-
B.
populationImpact2010Earthquake
Indicates the effect or consequences that the 2010 earthquake had on a population, such as changes in size, distribution, or demographic characteristics.
-
C.
earthquakeType
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
D.
locationDuringEarthquake
Indicates the place where an entity is situated at the time an earthquake occurs.
-
E.
infrastructureDamage
chosen
Indicates damage or destruction affecting physical infrastructure such as buildings, roads, utilities, or other constructed facilities.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.