Triple
T36342875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensdale mine explosion of 1915 |
E894976
|
entity |
| Predicate | bodiesRecovered |
P185146
|
FINISHED |
| Object | most victims recovered after the explosion |
—
|
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: most victims recovered after the explosion | Statement: [Ravensdale mine explosion of 1915, bodiesRecovered, most victims recovered after the explosion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodiesRecovered Context triple: [Ravensdale mine explosion of 1915, bodiesRecovered, most victims recovered after the explosion]
-
A.
bodiesExhumed
Indicates that previously buried bodies have been dug up and removed from their place of interment.
-
B.
numberOfHumanRemainsFound
Indicates the quantity of human remains that have been discovered in a given context or location.
-
C.
numberOfVictimsInMassGraves
Indicates the count of individuals who were killed and buried together in mass graves associated with a particular event or context.
-
D.
numberOfVictimsConfirmed
Indicates the confirmed count of victims associated with an event, incident, or situation.
-
E.
massGravesDiscovered
Indicates that previously unknown burial sites containing multiple bodies have been found.
- 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_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bb3f23f48190b0b9c2d667e09b52 |
completed | May 3, 2026, 9:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.