Triple
T14655278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naraka |
E344091
|
entity |
| Predicate | numberOfHells |
P115230
|
FINISHED |
| Object | varies by text and tradition |
—
|
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: varies by text and tradition | Statement: [Naraka, numberOfHells, varies by text and tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHells Context triple: [Naraka, numberOfHells, varies by text and tradition]
-
A.
numberOfDemonsDescribed
Indicates the count of demons that are specified or described in relation to a given subject.
-
B.
stateOfDevils
Indicates a condition, status, or situation specifically associated with devils.
-
C.
numberOfColossalHeads
Indicates the quantity of colossal heads associated with or attributed to a given subject.
-
D.
numberOfDomes
Indicates the quantity of domes that an entity possesses or is associated with.
-
E.
numberOfCoffins
Indicates the quantity of coffins associated with a given entity or situation.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.