Triple
T35965779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Chester (CA-27) |
E1040137
|
entity |
| Predicate | locationDamaged |
—
|
GENERATED |
| Object | near the Solomon Islands |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationDamaged Context triple: [USS Chester (CA-27), locationDamaged, near the Solomon Islands]
-
A.
notableLocationOfDamage
chosen
Indicates the specific place where damage is prominently present or has significantly occurred.
-
B.
damagedIn
Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
-
C.
damLocation
Indicates the geographic place where a dam is situated or constructed.
-
D.
damagedBy
Indicates that one entity has caused harm, impairment, or deterioration to another entity.
-
E.
lossLocation
Indicates the place or setting where a loss event occurs or is recorded.
- F. None of above.
Provenance (1 batch)
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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.