Triple
T36342861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensdale mine explosion of 1915 |
E894976
|
entity |
| Predicate | deadliestMineDisasterInWashingtonAtTheTime |
P185409
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ravensdale mine explosion of 1915, deadliestMineDisasterInWashingtonAtTheTime, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deadliestMineDisasterInWashingtonAtTheTime Context triple: [Ravensdale mine explosion of 1915, deadliestMineDisasterInWashingtonAtTheTime, true]
-
A.
miningDisaster
Indicates a disastrous event occurring in the context of mining operations, typically involving significant damage, injury, or loss of life.
-
B.
mineOfAccident
Indicates that a mine is the location or source where an accident occurred.
-
C.
railDisasterLedTo
Indicates that a specific rail disaster resulted in, caused, or gave rise to a particular subsequent event, consequence, or outcome.
-
D.
miningMinisterDuringAccident
Indicates that the subject served as the mining minister at the time when the specified accident occurred.
-
E.
firstContactWithMinersDayOfAccident
Indicates the date on which initial contact was made with the miners on the day the accident occurred.
- F. None of above. chosen
Provenance (4 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:09 p.m.