Triple
T18116105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candi Sewu |
E433607
|
entity |
| Predicate | hasDamageFrom |
P993
|
FINISHED |
| Object | earthquakes |
—
|
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: earthquakes | Statement: [Candi Sewu, hasDamageFrom, earthquakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDamageFrom Context triple: [Candi Sewu, hasDamageFrom, earthquakes]
-
A.
takesDamageFrom
Indicates that one entity receives or suffers damage as a result of an action, effect, or interaction caused by another entity.
-
B.
hasTypeOfDamage
Indicates that an entity experiences or exhibits a specific kind or category of damage.
-
C.
sufferedDamageTo
Indicates that one entity has experienced harm, loss, or deterioration affecting another entity or one of its parts.
-
D.
damageTo
Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
-
E.
damagedBy
chosen
Indicates that one entity has caused harm, impairment, or deterioration to another entity.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd58ea8819081e2bec5e591e093 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.