Triple
T31483545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beppu Jigoku |
E803210
|
entity |
| Predicate | numberOfMajorHells |
P115230
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Beppu Jigoku, numberOfMajorHells, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorHells Context triple: [Beppu Jigoku, numberOfMajorHells, 7]
-
A.
numberOfHells
chosen
Indicates the quantity or count of distinct hells associated with a given entity or context.
-
B.
numberOfDemonsDescribed
Indicates the count of demons that are specified or described in relation to a given subject.
-
C.
numberOfMajorStones
Indicates the quantity of major stones associated with or involved in a given entity or context.
-
D.
numberOfColossalHeads
Indicates the quantity of colossal heads associated with or attributed to a given subject.
-
E.
numberOfAnathemas
Indicates the quantity of anathemas (formal curses or condemnations) associated with a given entity or context.
- F. None of above.
Provenance (3 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01185c46f0819089b4a2ad3c3e2f33 |
completed | May 10, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_6a0117e19e008190870663dd45084416 |
completed | May 10, 2026, 11:42 p.m. |
Created at: April 30, 2026, 9:34 p.m.