Triple
T25843541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She-camel of Salih |
E651001
|
entity |
| Predicate | consequenceOfKilling |
P160692
|
FINISHED |
| Object | divine punishment on Thamud |
—
|
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: divine punishment on Thamud | Statement: [She-camel of Salih, consequenceOfKilling, divine punishment on Thamud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfKilling Context triple: [She-camel of Salih, consequenceOfKilling, divine punishment on Thamud]
-
A.
allegedToHaveKilled
Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
-
B.
perpetratorOfKilling
Indicates that an entity is the one who carried out or caused a particular killing.
-
C.
typeOfKilling
Indicates a specific manner, method, or category of killing that characterizes how the killing was carried out.
-
D.
perpetratorDeath
Indicates that the referenced individual is the one who caused or is responsible for another entity’s death.
-
E.
deathResultedIn
Indicates that one event, action, or condition caused or led directly to a particular death as its outcome.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60459a53c8190bbd90e80890eebcd |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 22, 2026, 7:51 a.m.