Triple
T28937058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liebfrauenkirche Koblenz |
E730345
|
entity |
| Predicate | warDamageType |
P16536
|
FINISHED |
| Object | bombing damage |
—
|
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: bombing damage | Statement: [Liebfrauenkirche Koblenz, warDamageType, bombing damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warDamageType Context triple: [Liebfrauenkirche Koblenz, warDamageType, bombing damage]
-
A.
warDamage
chosen
Indicates damage that was caused as a direct consequence of war or armed conflict.
-
B.
bombDamage
Indicates that one entity has caused damage to another entity through the use or effects of a bomb.
-
C.
damageTo
Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
-
D.
warheadEffect
Indicates the type or nature of impact, damage, or outcome produced when a warhead is used or detonated.
-
E.
aircraftDamage
Indicates that an aircraft has sustained harm or impairment, typically specifying the type, extent, or cause of the damage.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65b57b2a88190b290fc422c508a7c |
completed | May 2, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:33 a.m.