Triple
T16404743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamado Jigoku |
E398395
|
entity |
| Predicate | hasSteam |
P123296
|
FINISHED |
| Object | continuous steam emissions |
—
|
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: continuous steam emissions | Statement: [Kamado Jigoku, hasSteam, continuous steam emissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSteam Context triple: [Kamado Jigoku, hasSteam, continuous steam emissions]
-
A.
supportsGameStreaming
Indicates that one entity provides the capability for another entity to stream and play games remotely in real time.
-
B.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
C.
hasGamesAt
Indicates that a particular location, venue, or platform hosts or offers one or more games.
-
D.
hasPortal
Indicates that one entity possesses or provides access to a portal connecting to another location or entity.
-
E.
hasOculus
Indicates that one entity possesses or is equipped with an oculus (a circular opening or eye-like feature).
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.