Triple
T19077732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran |
E466946
|
entity |
| Predicate | twoSonsOfAdamStoryFollowedBy |
P134262
|
FINISHED |
| Object | verse equating killing one soul with killing all mankind |
—
|
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: verse equating killing one soul with killing all mankind | Statement: [Quran, twoSonsOfAdamStoryFollowedBy, verse equating killing one soul with killing all mankind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twoSonsOfAdamStoryFollowedBy Context triple: [Quran, twoSonsOfAdamStoryFollowedBy, verse equating killing one soul with killing all mankind]
-
A.
followsSonOf
Indicates that one entity follows another entity who is the son of a specified person or entity.
-
B.
listedAsSonOf
Indicates that one entity is recorded or designated as the son (male child) of another entity.
-
C.
hasSons
Indicates that an entity has one or more male offspring.
-
D.
numberOfSons
Indicates the count of male offspring that an entity has.
-
E.
motherOfSonsChitrangadaAndVichitravirya
Indicates that the subject is the mother of the sons Chitrangada and Vichitravirya.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e5591081908a4f8e4b2011b408 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.